championballer/coding-ninjas-machine-learning

Code written while learning and implementing machine learning algorithms during the course at coding ninjas

Machine Learning

• Complete

S.no	Lecture	Status	Notes
1	Python Basics		Here
2	Conditionals, Loops and Functions		Here
3	Lists and Dictionaries		Here
4	2D Lists and Numpy		Here
5	Pandas		Here
6	Plotting Graphs		Here
7	Introduction to Machine Learning		Here
8	Linear Regression		Here
9	Multi-variable Regression and Gradient Descent		Here
10	Project - Gradient Descent
11	Logistic Regression		Here
12	Project - Logistic Regression
13	Classification Measures		Here
14	Decision Trees - 1
15	Decision Trees - 2
16	Project - Decision Tree Implementation
17	Feature Scaling
18	Random Forests
19	Naive Bayes
20	Project - Text Classification
21	K Nearest Neighbours
22	Support Vector Machines
23	Principal Component Analysis
24	Principal Component Analysis - 2
25	Project - CIFAR10
26	Natural Language Processing - 1
27	Natural Language Processing - 2
28	Project - Twitter Sentiment Analysis
29	Git
30	Neural Networks - 1
31	Neural Networks - 2
32	Tensorflow
33	Keras
34	Convolutional Neural Networks - 1
35	Convolutional Neural Networks - 2
36	Recurrent Neural Networks
37	LSTM
38	Unsupervised Learning - 1
39	Unsupervised Learning - 2

Additional References

1. Visualising Decision Trees Using Scikit learn and Graphviz