This repo is for MyTectra students who have taken up AI-ML course with Python.

The course has been divided into modules which represent folders. I have explained each module and the topics that they cover.

Introduction -

Python -

Data_Manipulation -

Visualization -

Data_Preprocessing_and_Bias_Variance -

Metrices - https://medium.com/thalus-ai/performance-metrics-for-classification-problems-in-machine-learning-part-i-b085d432082b

Regression -

Classification -

Natural Language Processing -

PCA -

LDA -

Association Rule Learning -

Deep Learning -

Reinforcement Learning -

Project -

References

Pickle and projects - https://github.com/dipbanik/MyTectraJuly/tree/master/project

Pickle - https://scikit-learn.org/stable/modules/model_persistence.html

API and pickle - https://towardsdatascience.com/a-flask-api-for-serving-scikit-learn-models-c8bcdaa41daa

Example project - https://www.kaggle.com/rwikdutta/will-my-case-get-solved