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