FULL STACK DATA SCIENCE SPECIALISATION -Live and Recorded Sessions
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Full Data Science with Industrial Projects -- Machine Learning
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Lecture 2.1Class1- Python Basics2h30m
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Lecture 2.2Class 2 -Python Modules
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Lecture 2.3Class3- Stats, ML Basics2h50m
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Lecture 2.4Class4 – Evaluation Matrix and Linear Regression2h30m
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Lecture 2.5Class5- Advance Linear Regression, Dimension Reduction
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Lecture 2.6Class 6- Ensembled Technique
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Lecture 2.7Class 7-NLP/ Clustering2h34m
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Lecture 2.8Class 8- Interview questions and ML Project discussion1h50m
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Full Data Science with Industrial Projects -- Deep Learning
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Lecture 3.1Class 9- Introduction to Deep Learning2h24m
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Lecture 3.2Class 10 -NLP Bi-LSTM –Class11–Image Classification1h32m
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Lecture 3.3Class11-Image Classification
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Lecture 3.4Class 12- Time series1h50m
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Full Data Science with Industrial Projects-- Model Deployment
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Lecture 4.1Flask and Amazon1h25m
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Full Data Science with Industrial Projects-- Big Data
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Lecture 5.1Class14- Introduction to Big Data2h12m
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Lecture 5.2Class15-Pyspark EDA2h25m
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Class1- Python Basics
Welcome to the first Class of “Full Data Science with Industrial Projects”
Class1 – Document Link:-https://drive.google.com/file/d/1zWkw32J7u1nUCRHL1iBDDgR8L-Pnbz9S/view?usp=sharing
Important Notes :-
- We will cover 15 Classes in this module . For Content details , plz read course module .
- Plz install anaconda from “https://www.anaconda.com” .
- Recordings are from real classroom recordings .
- Before this class one introduction class was introduced which is not uploaded here .
Class1-A
Class1-B