Machine Learning Course May 2018
- Lecture 1 Python Basics
- Lecture 2 Conditionals,Loops and Functions
- Lecture 3 Lists and Dictionaries
- Lecture 4 2D Lists and Numpy
- Lecture 5 Pandas
- Lecture 6 Plotting Graphs
- Lecture 7 Introduction to ML
- Lecture 8 Linear Regression
- Lecture 9 MultiVariable Regression and Gradient Descent
- Lecture 10 Logistic Regression
- Lecture 11 Classification Measures
- Lecture 12 Decision Trees-1
- Lecture 13 Decision Trees-2
- Lecture 14 Feature Scaling
- Lecture 15 Random Forest
- Lecture 16 Naive Bayes
- Lecture 17 KNN
- Lecture 18 SVM
- Lecture 19 PCA
- Lecture 20 PCA-2
- Lecture 21 NLP-1
- Lecture 22 NLP-2
- Lecture 23 Neural Networks-1
- Lecture 24 Neural Network-2
- Lecture 25 Tensor Flow
- Lecture 26 Keras
- Lecture 27 CNN-1
- Lecture 28 CNN-2
- Lecture 29 RNN
- Lecture 30 LSTM
- Lecture 31 Unsupervised Learning
- Lecture 32 Unsupervised Learning-2