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Recordings
Introduction
Installation Jupiter lab and setup, basic skills on python
Introduction to Python
Introduction to Python (followed by Project 2)
EDA using the Numpy library
EDA using the Pandas library
EDA using Matplotlib (Plotting graphs)
EDA using the Matplotlib
EDA using Seaborn Final Project
Final Project
Doubt Solving
Technical Interview Training
Introduction to Data Forecasting & Machine Learning
Inferential Statistics & Probability
Inferential Statistics & Probability (2)
Linear Regression and Probability Statistics
Linear Regression
Clustering k-means
Project 1 and Project 2 code walk through
Project 3 code walk through
Project 3 Code walk through and miscellaneous topics
Industry experience and doubts
Mock Interview
Power BI Dashboard Overview
SQL
Mock interview with doubts resolution
Mock interview with doubts resolution
Interview Preparation and strategic planning
Miscellaneous topics
Classical ML Project
Are you sure you wanna do this ? 😛
Assessment
Study Material
_ GRU_Implementation_from_Scratch_01
_03- RNN_vs_GRU_Classification-01
Amazon Fine Food Reviews Analysis_Support Vector Machines
App PY-09
Boosting Learning - AdaBoost _ XGBoost
Chatbot
Cnn-01-01
FB_Prophet_tutorial-01
K means
LSTM
Main JS-13
mlp-01
NYC Taxi trip
padding_and_strides
Predicting species of iris data
Predicting species of iris data
Probability
Requirements Text
RNN_Classification-01
Statistics
Tutorial_time_series_analysis_and_forecasting
Util py-06
XG boost