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Getting Started 1
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Getting Started 04 minLecture1.1
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Python - 1 11
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Python Introduction 05 minLecture2.1
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Data types 12 minLecture2.2
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User Inputs and string concatenation 05 minLecture2.3
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Operators 06 minLecture2.4
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Conditional Statements 05 minLecture2.5
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Tuples 06 minLecture2.6
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Loops 09 minLecture2.7
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Functions 07 minLecture2.8
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Problem 1: Reverse every word in a String 08 minLecture2.9
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Problem 2: Prime numbers till N 10 minLecture2.10
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Python Quiz – 1Lecture2.11
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Python - 2 5
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Lists 04 minLecture3.1
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Add/Remove elements from List 06 minLecture3.2
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User Inputs in Lists and 2-D Lists 10 minLecture3.3
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Dictionaries 07 minLecture3.4
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Python Quiz – 2Lecture3.5
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Numpy 3
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Introduction to Numpy 10 minLecture4.1
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Operations and functions in Numpy 05 minLecture4.2
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Numpy QuizLecture4.3
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MatplotLib 2
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Introduction to MatplotLib 07 minLecture5.1
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Common properties in MatplotLib 09 minLecture5.2
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Pandas 6
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Introduction to Pandas 03 minLecture6.1
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Pandas – 2 12 minLecture6.2
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Pandas – 3 08 minLecture6.3
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Pandas – 4 03 minLecture6.4
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Pandas – Code/DatasetLecture6.5
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Pandas QuizLecture6.6
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Introduction to Machine Learning 2
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Machine Learning Introduction – 1 11 minLecture7.1
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Machine Learning introduction – 2 10 minLecture7.2
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Linear Regression 13
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Linear Regression Introduction 07 minLecture8.1
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Linear Regression Intro – 2 12 minLecture8.2
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Linear Regression Score 08 minLecture8.3
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Gradient Descent Intro 11 minLecture8.4
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Coding Linear Regression from scratch 05 minLecture8.5
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Coding Linear Regression from scratch – 2 08 minLecture8.6
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Using Linear Regression from sklearn 08 minLecture8.7
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Data with multiple features 13 minLecture8.8
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Polynomial Regression 09 minLecture8.9
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Overfitting and Regularizations 05 minLecture8.10
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Linear Regression – Code/DatasetLecture8.11
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Gradient Descent from Scratch 12 minLecture8.12
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Linear Regression QuizLecture8.13
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Logistic Regression 4
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Logistic Regression Introduction 12 minLecture9.1
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Logistic Regression on Cancer Dataset 12 minLecture9.2
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Multi-class Classification 08 minLecture9.3
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Logistic Regression QuizLecture9.4
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Classification Metrics 4
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Classification Metrics Introduction 12 minLecture10.1
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Classification Metrics for cancer dataset 08 minLecture10.2
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Classification Metrics for Iris dataset 04 minLecture10.3
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Classification Metrics QuizLecture10.4
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Feature Scaling 3
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Feature Scaling Introduction 16 minLecture11.1
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Feature Scaling for Wine dataset 10 minLecture11.2
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Feature Scaling QuizLecture11.3
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Decision Trees 10
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Decision Trees Introduction – 1 10 minLecture12.1
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Decision Trees Introduction – 2 11 minLecture12.2
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Accuracy and info gain 08 minLecture12.3
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Gain Ratio and Gini Index 09 minLecture12.4
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Overfitting in Decision Trees 07 minLecture12.5
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Pruning 09 minLecture12.6
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Decision Trees on Iris Dataset 09 minLecture12.7
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Decision Trees on Heart Dataset 03 minLecture12.8
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Decision Trees – Code/DatasetLecture12.9
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Decision Trees QuizLecture12.10
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Random Forest 4
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Random Forest Introduction 05 minLecture13.1
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Data Bagging 05 minLecture13.2
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Random Forest on Iris dataset 07 minLecture13.3
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Random Forest QuizLecture13.4
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Naive Bayes 6
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Bayes Theorem 07 minLecture14.1
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Naive Bayes Introduction 12 minLecture14.2
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Laplace Correction 11 minLecture14.3
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Classification of different datasets with Naive Bayes 05 minLecture14.4
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Naive Bayes -Code/DatasetLecture14.5
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Naive Bayes QuizLecture14.6
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KNN 6
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KNN Introduction – 1 06 minLecture15.1
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KNN Introduction – 2 05 minLecture15.2
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Pros and Cons of KNN 07 minLecture15.3
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Choosing value of K 08 minLecture15.4
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Classification of Cancer Dataset with KNN 11 minLecture15.5
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KNN QuizLecture15.6
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SVM 7
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SVM Introduction 15 minLecture16.1
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Kernels 17 minLecture16.2
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Effect of C on Decision boundary 08 minLecture16.3
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Guassian Curve 15 minLecture16.4
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Regression using SVR 03 minLecture16.5
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SVM -Code/DatasetLecture16.6
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SVM QuizLecture16.7
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PCA 7
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PCA-Introduction 09 minLecture17.1
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PCA on 2D dataset 05 minLecture17.2
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PCA on Breast cancer dataset 15 minLecture17.3
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PCA on images 16 minLecture17.4
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Eighen Faces 09 minLecture17.5
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PCA on LFW dataset 05 minLecture17.6
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PCA QuizLecture17.7
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NLP 7
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NLP Intro – 1 07 minLecture18.1
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NLP Intro – 2 13 minLecture18.2
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POS Tag and Lemmatization 07 minLecture18.3
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Project – Twitter Sentiments – 1 13 minLecture18.4
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Project – Twitter Sentiments – 2 12 minLecture18.5
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Project – Twitter Sentiments – 3 12 minLecture18.6
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Twitter Sentiments – Code/DatasetLecture18.7
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