[FreeCourseSite.com] Udemy - Complete Data Science,Machine Learning,DL,NLP Bootcamp

Creation Time	Feb. 19, 2025, 5:54 p.m.
Last Access Time	April 6, 2025, 1:49 p.m.
File Size	70.6 GB
Keywords	NLP DL Complete FreeCourseSite com - Udemy Machine Learning Science Bootcamp Data
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Total Files	1178
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27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/011 Simple Linear Regression Practical.mp4 867.7 MB
46 - Dockers For Beginners/009 9-Dockers-Compose.mp4 790.4 MB
62 - Transformers/004 Self Attention Layer Working.mp4 738.1 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/001 End To End ML Project With Deployment-Github And Code Set Up.mp4 671.4 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/003 Discussing Project Problem Statement,EDA And Model Training.mp4 645.1 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/002 Implementing Project Structure, Logging And Exception Handling.mp4 628.8 MB
50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/001 Getting Started With MLOPS With MLFlow And Dagshub With Project.mp4 622.5 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/007 End To End ML Project Implementation.mp4 621.7 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/012 Multiple Linear regression.mp4 587.0 MB
62 - Transformers/012 Decoder Transformer- Masked Multi Head Attention Working.mp4 580.0 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/010 Implementing Data Ingestions Component.mp4 560.0 MB
38 - Xgboost Machine Learning Algorithms/001 Xgboost Classification Indepth Intuit.mp4 553.6 MB
13 - Data Analysis With Python/002 Pandas- DataFrame And Series.mp4 553.2 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/014 Data Transformation Implementation.mp4 531.2 MB
32 - Naive Bayes Theorem/001 Understanding Baye's Theorem.mp4 521.8 MB
13 - Data Analysis With Python/001 Numpy In Python.mp4 520.7 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/002 Multiple Linear Regression Projects With Assumptions.mp4 520.0 MB
25 - Exploratory Data Analysis and Feature Engineering/003 Data Cleaning With Google Playstore Dataset.mp4 489.8 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/012 Implementing Data Validation-Part 2.mp4 470.8 MB
23 - Inferential Statistics/015 Partioning Of Variance In Annova.mp4 469.0 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/005 EDA and Feature Engineering.mp4 452.5 MB
45 - Anomaly Detection Machine Learning Algorithms/001 Anomaly Detection USsing Isolation Forest Indepth Intuition.mp4 447.3 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/020 Model Training Pipeline Implementation.mp4 446.1 MB
25 - Exploratory Data Analysis and Feature Engineering/001 Red Wine Dataset EDA.mp4 443.6 MB
51 - NLP for Machine Learning/033 Part 1-Kindle Review Sentiment Analysis.mp4 442.7 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/011 Deployment Azure With Container And Images.mp4 441.3 MB
20 - Getting Started With Statistics/013 Correlation And Covariance.mp4 429.8 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/010 Deployment EC2 Instance With ECR.mp4 425.4 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/011 Implementing Data Validation-Part 1.mp4 412.4 MB
62 - Transformers/008 Layer Normalization.mp4 409.8 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/008 MSE, MAE, RMSE.mp4 409.8 MB
34 - Decision Tree Classifier And Regressor/007 Decision Tree Regression.mp4 408.7 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/001 Basic Simple Linear Regression Project.mp4 400.2 MB
60 - Encoder Decoder Sequence To Sequence Architecture/001 Indepth Intuition Of Encoder And Decoder-Sequence to Sequence Architecture.mp4 397.0 MB
23 - Inferential Statistics/003 Z Test- Hypothesis Testing.mp4 396.2 MB
52 - Deep Learning/005 ANN Intuition and Learning.mp4 386.6 MB
41 - K Means Clustering Unsupervised ML/004 K means Clustering Implementation.mp4 384.5 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/015 Model Trainer Implementation- Part 1.mp4 383.8 MB
18 - Getting Started With Flask Framework/005 Building Dynamic Url ,Variables Rule And Jinja 2 Template Engine.mp4 380.4 MB
55 - Simple RNN Indepth Intuition/003 Backward Propogation With Time In RNN Training.mp4 377.8 MB
22 - Probability Distribution Function For Data/001 The Relationship Between PDF,PMF And CDF.mp4 370.0 MB
52 - Deep Learning/006 Back Propogation and Weight Updation.mp4 366.9 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/004 Model Training With Cross Validation Using Lasso Regression.mp4 365.4 MB
53 - End to End Deep Learning Project Using ANN/003 Step By Step Training With ANN With Optimizer and Loss Functions.mp4 363.4 MB
61 - Attention Mechanism- Seq2Seq Networks/001 Attention Mechanism Indepth Architecture Explanation.mp4 357.1 MB
30 - Logistic Regression/002 Logistic Regression Indepth Math Intuition.mp4 356.4 MB
30 - Logistic Regression/003 Performance Metrics.mp4 355.1 MB
57 - LSTM And GRU RNN Indepth Intuition/008 GRU RNN Complete Indepth Intuition.mp4 352.9 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/016 Model Trainer And Evaluation With Hyperparameter Tuning.mp4 352.6 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/005 Data Transformation Using Pipelines Implementation.mp4 351.9 MB
62 - Transformers/007 Positional Encoding Indepth Intuition.mp4 351.4 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/025 Final Deployment To EC2 instance.mp4 348.3 MB
54 - NLP With Deep Learning/001 Introduction To NLP In Deep Learning.mp4 346.4 MB
55 - Simple RNN Indepth Intuition/004 Problems With RNN.mp4 334.5 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/022 Final Model And Artifacts Pusher To AWS S3 buckets.mp4 330.9 MB
47 - GIT For Beginners/003 Resolving Git Branch Merge Conflict.mp4 328.3 MB
51 - NLP for Machine Learning/007 Text Preprocessing Stopwords.mp4 327.7 MB
40 - PCA/005 Eigen Decomposition on Covariance Matrix.mp4 327.4 MB
29 - Steps By Step Project Implementation With LifeCycle OF ML Project/003 Basic Regression Project From Scratch-EDA And Feature Engineering.mp4 326.8 MB
38 - Xgboost Machine Learning Algorithms/002 Xgboost Regressor.mp4 324.2 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/007 ETL Pipeline Setup With Python.mp4 322.2 MB
52 - Deep Learning/008 Vanishing Gradient Problem and Sigmoid.mp4 315.0 MB
03 - Python Control Flow/001 Conditional Statements (if, elif, else).mp4 311.1 MB
34 - Decision Tree Classifier And Regressor/008 Decision Tree Implementation.mp4 310.9 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/010 Linear Regression with OLS.mp4 308.4 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/001 Ridge Regression.mp4 308.3 MB
03 - Python Control Flow/002 Loops In Python.mp4 306.4 MB
25 - Exploratory Data Analysis and Feature Engineering/002 EDA And Feature Engineering Flight Price Dataset.mp4 302.3 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/004 Cleaning the Dataset.mp4 297.2 MB
24 - Feature Engineering/001 Handling Missing Values.mp4 297.1 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/003 Cost Function.mp4 290.5 MB
26 - Introduction To Machine Learning/002 Types of ML Techniques.mp4 290.2 MB
50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/003 Building Data Science Projects With BentoML.mp4 289.9 MB
52 - Deep Learning/019 Loss Function Classification Problem.mp4 287.4 MB
42 - Hierarichal Clustering/001 Hierarichal Clustering.mp4 286.9 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/003 Types Of cross Validation.mp4 284.8 MB
51 - NLP for Machine Learning/015 BOW implementation using NLTK.mp4 281.6 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/024 Github Action-Docker Image Push to AWS ECR Repo Implementation.mp4 281.2 MB
13 - Data Analysis With Python/005 Data Visualization With Matplotlib.mp4 278.7 MB
51 - NLP for Machine Learning/031 Part 1-Text Classification With Word2vec And AvgWord2vec.mp4 278.1 MB
25 - Exploratory Data Analysis and Feature Engineering/004 Part 2- EDA Google Play Store Cleaned Dataset.mp4 278.0 MB
24 - Feature Engineering/003 Handling Imbalanced Dataset Using Smote.mp4 275.3 MB
22 - Probability Distribution Function For Data/003 Bernoulli Distribution.mp4 274.0 MB
40 - PCA/002 Feature Selection and Extraction.mp4 270.5 MB
51 - NLP for Machine Learning/022 Word2Vec Intuition.mp4 263.5 MB
46 - Dockers For Beginners/009 Docker Compose.mp4 263.1 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/004 Data Ingestion Implementation.mp4 255.6 MB
62 - Transformers/010 Complete Encoder transformer architecture.mp4 255.2 MB
31 - Support Vector Machines/007 Support Vector Classifiers.mp4 254.3 MB
50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/002 Data Versioning Control Implementation.mp4 253.5 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/003 Packaging the Project With Setup.py.mp4 252.4 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/008 Building Prediction Pipeline.mp4 252.0 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/007 Performance Metrics.mp4 250.7 MB
31 - Support Vector Machines/008 SVM Kernels implementation.mp4 250.1 MB
51 - NLP for Machine Learning/001 Roadmap to Learn NLP for Machine Learning.mp4 248.9 MB
30 - Logistic Regression/005 Logistic Regression Implementation.mp4 245.6 MB
26 - Introduction To Machine Learning/005 Instance based Vs Model based learning.mp4 245.0 MB
51 - NLP for Machine Learning/005 Text Preprocessing Stemming using NLTK.mp4 244.6 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/006 Model Trainer Implementation.mp4 239.9 MB
33 - K Nearest Neighbour ML Algorithm/001 KNN Classification And Regression Indepth Intuition.mp4 239.7 MB
51 - NLP for Machine Learning/004 Tokenisation Practicals.mp4 239.4 MB
22 - Probability Distribution Function For Data/007 Standard Normal Distribution And Z Score.mp4 236.4 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/013 Data Transformation Architecture.mp4 233.6 MB
33 - K Nearest Neighbour ML Algorithm/002 Optimization Of KNN- KDtree And Ball Tree Indepth Intuition.mp4 229.9 MB
52 - Deep Learning/018 Regression Cost Function.mp4 228.8 MB
51 - NLP for Machine Learning/032 Part 2- Text Classification With Word2vec And AvgWord2vec.mp4 227.5 MB
13 - Data Analysis With Python/003 Data Manipulation With Pandas And Numpy.mp4 226.7 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/004 Logging And Exception Handling Implementation.mp4 225.8 MB
18 - Getting Started With Flask Framework/006 Working With Rest API's And HTTP Verbs Put And Delete.mp4 225.1 MB
37 - Gradient Boosting/001 Gradient Boosting Regression.mp4 224.4 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/009 Implementing Data Ingestion Configuration.mp4 222.6 MB
59 - Bidirectional RNN Architecture And Indepth Intuition/001 Bidirectional RNN Architecture and Intuition.mp4 221.6 MB
47 - GIT For Beginners/002 Git Merge, Push, Checkout and Log with commands.mp4 214.5 MB
26 - Introduction To Machine Learning/003 Equation of Line, 3d, and Hyperplane.mp4 211.0 MB
53 - End to End Deep Learning Project Using ANN/002 Feature Transformation Using Sklearn With ANN.mp4 208.9 MB
04 - Inbuilt Data Structures In Python/007 Dictionaries In Python.mp4 206.7 MB
36 - Adaboost Machine Learning Algorithm/008 Adaboost Model Training.mp4 205.4 MB
24 - Feature Engineering/005 Data Encoding- Nominal Or OHE.mp4 203.5 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/014 Polynomial Regression Implementation.mp4 202.3 MB
55 - Simple RNN Indepth Intuition/001 Understanding RNN Architecture- RNN Vs ANN.mp4 200.3 MB
46 - Dockers For Beginners/002 Dockers and What is Containers.mp4 198.8 MB
31 - Support Vector Machines/009 Support Vector Regression Implementation.mp4 198.5 MB
04 - Inbuilt Data Structures In Python/001 List And List Comprehension In Python.mp4 198.1 MB
42 - Hierarichal Clustering/002 Agglomerative Clustering Implementation.mp4 197.9 MB
04 - Inbuilt Data Structures In Python/005 Sets In Python.mp4 197.6 MB
15 - Logging In Python/001 Logging Practical Implementation In Python.mp4 197.4 MB
62 - Transformers/003 Understanding the basic architecture of transformers.mp4 195.0 MB
51 - NLP for Machine Learning/008 Parts of Speech Tagging Using NLTK.mp4 194.3 MB
62 - Transformers/002 What And Why To Use Transformers.mp4 193.8 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/021 Batch Prediction Pipeline Implementation.mp4 192.0 MB
23 - Inferential Statistics/002 What is P value.mp4 191.5 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/004 Convergence Algorithm.mp4 190.3 MB
57 - LSTM And GRU RNN Indepth Intuition/001 Why LSTM RNN.mp4 190.3 MB
51 - NLP for Machine Learning/013 Bag of Words Intuition.mp4 190.0 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/008 Hyperparameter tuning.mp4 189.7 MB
05 - Functions In Python/002 More Coding Example With Functions.mp4 189.4 MB
55 - Simple RNN Indepth Intuition/002 Forward Propogation With Time In RNN Training.mp4 189.4 MB
52 - Deep Learning/010 Sigmoid Activation Function 2.0.mp4 187.1 MB
47 - GIT For Beginners/001 Introduction, Installation and Basic Commands.mp4 187.1 MB
46 - Dockers For Beginners/006 Docker Basic Commands.mp4 186.8 MB
51 - NLP for Machine Learning/024 SkipGram Indepth Intuition.mp4 185.1 MB
34 - Decision Tree Classifier And Regressor/010 Diabetes Prediction Using Decision Tree Regressor.mp4 184.2 MB
52 - Deep Learning/002 Why Deep Learning is getting Popular.mp4 183.2 MB
13 - Data Analysis With Python/006 Data Visualization With Seaborn.mp4 180.9 MB
52 - Deep Learning/003 3 - Perception Intuition.mp4 179.6 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/006 Setting Up MongoDb Atlas.mp4 179.0 MB
52 - Deep Learning/024 SGD With Momentum.mp4 178.8 MB
30 - Logistic Regression/010 Logistic Regression ROC.mp4 178.6 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/005 Convergence Algorithm Part02.mp4 176.2 MB
34 - Decision Tree Classifier And Regressor/003 Information Gain.mp4 176.2 MB
30 - Logistic Regression/009 Logistic Imbalanced Dataset.mp4 175.3 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/013 Polynomial Regression Intuition.mp4 173.6 MB
30 - Logistic Regression/006 Grid Search Hyper Parameter.mp4 172.6 MB
62 - Transformers/013 Encoder Decoder Multi Head Attention.mp4 171.9 MB
40 - PCA/004 PCA Maths Intuition 01.mp4 171.8 MB
12 - Advance Python/003 Function Copy,Cloures And Decorators.mp4 171.1 MB
57 - LSTM And GRU RNN Indepth Intuition/003 Forget Gate In LSTM RNN.mp4 170.9 MB
52 - Deep Learning/030 Dropout Layers.mp4 169.9 MB
57 - LSTM And GRU RNN Indepth Intuition/006 Training Process In LSTM RNN.mp4 169.0 MB
28 - Ridge,Lasso And ElasticNet ML ALgorithms/002 Lasso & ElasticNet.mp4 168.7 MB
17 - Memory Management With Python/001 Memory Allocation And DeallocationGarbage collection and Best Practises.mp4 168.1 MB
51 - NLP for Machine Learning/012 Advantages and Disadvantages of OHE.mp4 168.0 MB
52 - Deep Learning/021 Gradient Descent Optimisers.mp4 166.5 MB
34 - Decision Tree Classifier And Regressor/002 Entropy and Gini Impurity.mp4 166.3 MB
02 - Python Programming Language/007 Operators In Python.mp4 165.8 MB
53 - End to End Deep Learning Project Using ANN/007 ANN Regresiion Practical Implementation.mp4 164.7 MB
22 - Probability Distribution Function For Data/009 Log Normal Distribution.mp4 164.4 MB
40 - PCA/003 PCA Geometric Intuition.mp4 164.3 MB
48 - End To End Machine Learning Project With AWS,Azure Deployment/009 ML Project Deployment Using AWS Beanstalk.mp4 163.6 MB
14 - Working With Sqlite3/002 Crud Operation With SQLite3 And Python.mp4 162.4 MB
35 - Random Forest Machine Learning/008 Feature Engineering.mp4 161.1 MB
52 - Deep Learning/007 Chain Rule of Derivatives.mp4 160.1 MB
26 - Introduction To Machine Learning/001 Introduction.mp4 158.7 MB
31 - Support Vector Machines/005 Support Vector Regression.mp4 157.1 MB
53 - End to End Deep Learning Project Using ANN/008 Finding Optimal Hidden Layers And Hidden Neurons In ANN.mp4 155.8 MB
62 - Transformers/014 Final Decoder Linear And Softmax Layer.mp4 155.3 MB
51 - NLP for Machine Learning/030 Best Practises For Solving ML Problems.mp4 154.9 MB
30 - Logistic Regression/004 Logistic Regression OVR.mp4 153.6 MB
23 - Inferential Statistics/005 T Stats With T test Hypothesis Testing.mp4 153.3 MB
22 - Probability Distribution Function For Data/005 Poisson Distribution.mp4 153.2 MB
36 - Adaboost Machine Learning Algorithm/003 Performance of Decision Tree Stump.mp4 153.1 MB
38 - Xgboost Machine Learning Algorithms/003 Model Training Xgboost.mp4 152.7 MB
35 - Random Forest Machine Learning/001 Bagging & Boosting Ensemble Techniques.mp4 151.7 MB
51 - NLP for Machine Learning/018 TF-IDF Instituion.mp4 148.6 MB
22 - Probability Distribution Function For Data/006 Normal Gaussian Distribution.mp4 148.3 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/017 Model Experiment Tracking With MLFLOW.mp4 148.0 MB
52 - Deep Learning/034 Convolution Operation In CNN.mp4 147.0 MB
52 - Deep Learning/012 Relu activation Function.mp4 146.8 MB
40 - PCA/001 Curse Of Dimensionality.mp4 146.0 MB
52 - Deep Learning/023 Mini Batch With SGD.mp4 143.6 MB
53 - End to End Deep Learning Project Using ANN/001 Discussing Classification Problem Statement And Setting Up Vs Code.mp4 141.6 MB
37 - Gradient Boosting/003 Gradient Boost Regression Model Training.mp4 141.4 MB
58 - LSTM And GRU End To End Deep Learning Project- Predicting Next Word/002 Data Collection And Data Processing.mp4 140.4 MB
10 - Exception Handling In Python/001 Exception Handling With try except else and finally blocks.mp4 139.9 MB
08 - Importing Creating Modules And Packages/002 Standard Library Overview.mp4 139.8 MB
22 - Probability Distribution Function For Data/008 Uniform Distribution.mp4 138.3 MB
51 - NLP for Machine Learning/014 Advantages and Disadvantages BOW.mp4 138.2 MB
52 - Deep Learning/038 Flattening and Fully Connected Layers.mp4 138.1 MB
02 - Python Programming Language/004 Python Basics-Syntax And Semantics.mp4 136.9 MB
22 - Probability Distribution Function For Data/004 Binomial Distribution.mp4 136.2 MB
01 - Getting Started/004 Getting Started With VS Code.mp4 136.1 MB
20 - Getting Started With Statistics/004 Measure Of Central Tendency.mp4 135.7 MB
52 - Deep Learning/028 Exploding Gradient Problem.mp4 135.6 MB
31 - Support Vector Machines/004 SVC Cost function.mp4 135.0 MB
24 - Feature Engineering/002 Handling Imbalanced Dataset.mp4 134.4 MB
53 - End to End Deep Learning Project Using ANN/004 Prediction With Trained ANN Model.mp4 133.8 MB
52 - Deep Learning/022 SGD.mp4 131.1 MB
09 - File Handling In Python/001 File Operation In Python.mp4 131.0 MB
43 - DBSCAN Clustering/001 How DBSCAN Works.mp4 129.7 MB
11 - OOPS Concepts With Classes And Objects/005 Encapsulation In OOPS.mp4 127.7 MB
35 - Random Forest Machine Learning/002 Random Forest Regression.mp4 126.7 MB
46 - Dockers For Beginners/004 Docker vs Virtual Machines.mp4 126.5 MB
34 - Decision Tree Classifier And Regressor/001 Introduction TO Decision Tree.mp4 125.8 MB
62 - Transformers/005 Multi Head Attention.mp4 125.7 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/002 Understanding Simple Linear regression Equations.mp4 125.3 MB
31 - Support Vector Machines/003 SVM Maths Intuition.mp4 125.2 MB
36 - Adaboost Machine Learning Algorithm/001 Introduction to Adaboost ML algorithm.mp4 124.5 MB
45 - Anomaly Detection Machine Learning Algorithms/002 DBSCAN Clustering Anomaly Detection.mp4 124.2 MB
41 - K Means Clustering Unsupervised ML/001 Kmeans Clustering Geometric Intuition.mp4 123.9 MB
01 - Getting Started/003 Anaconda Installation.mp4 123.0 MB
21 - Introduction To Probability/001 Addition Rule (For Mutual And Non Mutual Exclusive Events).mp4 122.4 MB
30 - Logistic Regression/001 Can Linear Regression Solve Classifier Problem.mp4 122.3 MB
35 - Random Forest Machine Learning/004 Feature Engineering Part 01.mp4 122.1 MB
32 - Naive Bayes Theorem/002 Variants Of Naive Baye's.mp4 121.5 MB
43 - DBSCAN Clustering/003 Pros and Cons Of DBSCAN.mp4 121.0 MB
37 - Gradient Boosting/002 Gradient Boost Classifier Training.mp4 120.3 MB
60 - Encoder Decoder Sequence To Sequence Architecture/002 Problems With Encoder And Decoder.mp4 120.2 MB
31 - Support Vector Machines/006 SVM Kernels.mp4 119.6 MB
51 - NLP for Machine Learning/017 N Gram BOW Implementation Using NLTK.mp4 117.9 MB
21 - Introduction To Probability/002 Probability-Multiplication Rule(Independent And Dependent Events).mp4 117.6 MB
36 - Adaboost Machine Learning Algorithm/006 Selecting New Datapoints for Next tree.mp4 117.1 MB
46 - Dockers For Beginners/005 Docker Installation.mp4 116.8 MB
52 - Deep Learning/031 CNN Introduction.mp4 116.2 MB
56 - End To End Deep Learning Project With Simple RNN/002 Getting Started With Word Embedding Layers.mp4 116.0 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/001 Simple Linear Regression Introduction.mp4 115.2 MB
57 - LSTM And GRU RNN Indepth Intuition/004 Input Gate And Candidate Memory In LSTM RNN.mp4 114.4 MB
56 - End To End Deep Learning Project With Simple RNN/003 Implementing Word Embedding With Keras Tensorflow.mp4 114.2 MB
27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/009 Overfitting and Underfitting.mp4 113.5 MB
52 - Deep Learning/029 Weight Initialisation Techniques.mp4 112.4 MB
18 - Getting Started With Flask Framework/004 Working With HTTP Verbs Get And Post.mp4 112.4 MB
51 - NLP for Machine Learning/010 What's Next.mp4 110.7 MB
51 - NLP for Machine Learning/028 Spam ham Project using BOW.mp4 110.7 MB
35 - Random Forest Machine Learning/006 Model Training Step.mp4 110.1 MB
11 - OOPS Concepts With Classes And Objects/003 Inheritance In OOPS.mp4 109.5 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/002 Github Repository Set Up With VS Code.mp4 109.4 MB
36 - Adaboost Machine Learning Algorithm/009 Adaboost Regressor Model Training.mp4 109.3 MB
16 - Python Multi Threading and Multi Processing/001 What Is Process And Threads.mp4 109.3 MB
62 - Transformers/006 Feed Forward Neural Network With Multi Head Attention.mp4 108.6 MB
22 - Probability Distribution Function For Data/012 Central Limit Theorem.mp4 108.1 MB
52 - Deep Learning/015 Softmax For Multiclass Classification.mp4 108.0 MB
11 - OOPS Concepts With Classes And Objects/004 Polymorphism In OOPS.mp4 107.9 MB
26 - Introduction To Machine Learning/004 Distance of a point from a plane.mp4 107.5 MB
41 - K Means Clustering Unsupervised ML/002 How to Find K Values.mp4 107.1 MB
57 - LSTM And GRU RNN Indepth Intuition/005 Output Gate In LSTM RNN.mp4 105.6 MB
52 - Deep Learning/032 Human Brain Vs CNN.mp4 104.2 MB
51 - NLP for Machine Learning/003 Tokenisation and Basic Terminologies.mp4 103.1 MB
57 - LSTM And GRU RNN Indepth Intuition/007 Variants Of LSTM RNN.mp4 103.0 MB
23 - Inferential Statistics/008 Bayes Theorem.mp4 102.6 MB
20 - Getting Started With Statistics/005 Measure Of Dispersion.mp4 101.7 MB
18 - Getting Started With Flask Framework/001 Introduction To Flask Framework.mp4 100.4 MB
20 - Getting Started With Statistics/011 Percentile And Quartiles- Descriptive Statistics.mp4 100.0 MB
38 - Xgboost Machine Learning Algorithms/004 Xgboost Regressor Training.mp4 99.9 MB
24 - Feature Engineering/006 Label And Ordinal Encoding.mp4 98.7 MB
32 - Naive Bayes Theorem/003 Naive Baye's Practical Implementation.mp4 98.0 MB
51 - NLP for Machine Learning/002 Practical Use cases of NLP.mp4 96.9 MB
52 - Deep Learning/037 Max, Min and Average Pooling.mp4 96.8 MB
52 - Deep Learning/033 All you need to Know about Images.mp4 95.7 MB
19 - Getting Started With Streamlit Web Framework/001 Building Web App Using Streamlit.mp4 95.4 MB
20 - Getting Started With Statistics/001 What is Statistics And its Application.mp4 95.3 MB
51 - NLP for Machine Learning/027 Word2vec Practical Implementation Gensim.mp4 94.9 MB
41 - K Means Clustering Unsupervised ML/003 Random Initialisation Trap(Kmeans++).mp4 94.0 MB
52 - Deep Learning/009 Sigmoid Activation Function.mp4 92.5 MB
52 - Deep Learning/027 Adam Optimiser.mp4 90.3 MB
23 - Inferential Statistics/009 Confidence Interval And MArgin Of Error.mp4 89.8 MB
20 - Getting Started With Statistics/012 5 Number Summary-Descriptive Statistics.mp4 89.5 MB
51 - NLP for Machine Learning/023 Word2Vec Cbow Intuition.mp4 89.3 MB
36 - Adaboost Machine Learning Algorithm/007 Final Prediction for Adaboost.mp4 89.2 MB
36 - Adaboost Machine Learning Algorithm/005 Normalising Weights and Assigning Bins.mp4 88.3 MB
02 - Python Programming Language/005 Variables In Python.mp4 88.1 MB
44 - Silhoutte Clustering/001 Silhoutte Clustering Intuition.mp4 87.2 MB
49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/018 MLFLOW Experiment Tracking With Remote Respository Dagshub.mp4 85.5 MB
22 - Probability Distribution Function For Data/002 Types Of Probability Distribution.mp4 85.3 MB
34 - Decision Tree Classifier And Regressor/006 Post Pruning & Pre Pruning.mp4 85.2 MB
23 - Inferential Statistics/010 What is Chi Square Test.mp4 84.8 MB
24 - Feature Engineering/004 Handling Outliers Using Python.mp4 84.6 MB
11 - OOPS Concepts With Classes And Objects/001 Classes And Objects In Python.mp4 83.6 MB
05 - Functions In Python/001 Getting Started With Functions.mp4 83.5 MB
56 - End To End Deep Learning Project With Simple RNN/007 End To End Streamlit Web App Integrated With RNN And deployment.mp4 83.3 MB
62 - Transformers/011 Decoder Transformer- Plan Of Action.mp4 83.2 MB
02 - Python Programming Language/002 Different Ways of Creating Virtual Environment.mp4 83.0 MB
56 - End To End Deep Learning Project With Simple RNN/004 Loading And Understanding IMDB Dataset And Feature Engineering.mp4 82.8 MB
22 - Probability Distribution Function For Data/010 Power Law Distribution.mp4 82.5 MB
51 - NLP for Machine Learning/006 Text Preprocessing Lemmatization NLTK.mp4 82.4 MB
51 - NLP for Machine Learning/011 One Hot Encoding Intuition.mp4 81.9 MB
39 - Unsupervised Machine Learning/001 Introduction To Unsupervised Machine Learning.mp4 80.7 MB
35 - Random Forest Machine Learning/005 Feature Engineering Part 02.mp4 80.6 MB
52 - Deep Learning/025 Adagard.mp4 80.4 MB
34 - Decision Tree Classifier And Regressor/009 Decision tree Prepruning.mp4 79.9 MB
20 - Getting Started With Statistics/010 Histograms- Descriptive Statistics.mp4 79.8 MB
23 - Inferential Statistics/014 Types Of Annova.mp4 79.4 MB
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20 - Getting Started With Statistics/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
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42 - Hierarichal Clustering/[FreeCourseSite.com].url 127 bytes
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44 - Silhoutte Clustering/[FreeCourseSite.com].url 127 bytes
45 - Anomaly Detection Machine Learning Algorithms/0. Websites you may like/[FreeCourseSite.com].url 127 bytes
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40 - PCA/[CourseClub.Me].url 122 bytes
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50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/[CourseClub.Me].url 122 bytes
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53 - End to End Deep Learning Project Using ANN/[CourseClub.Me].url 122 bytes
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55 - Simple RNN Indepth Intuition/[CourseClub.Me].url 122 bytes
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60 - Encoder Decoder Sequence To Sequence Architecture/[CourseClub.Me].url 122 bytes
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