Data Science & Machine Learning : Hands on Data Science 2020

[LeeAndro]

h264, yuv420p, 1280x720 | ENGLISH, aac, 44100 Hz, 2 channels, s16 | 15h 32 mn | 4.18 GB
Instructor: Ankit Mistry

Apply linear regression and logistics regression on real dataset.

Numpy, Pandas, Matplotlib, Scikit-Learn, WebScraping, Data Science, Machine Learning, Pyspark, statistics, Data Science


What you'll learn

You will Learn one of the most in demand skill of 21st century Data Science

Add Data science skills : python, numpy, pandas, plotly, tableau, machine learning, statistics, probability in your resume



Crash course on python

Apply matrix operation with Numpy - Numerical python library

Visualize your data with mother of all visualisation library available in Python : MatplotLIb

Perform Data analysis, wrangling and cleaning with pandas library

Get hands on with interactive visualisation library Plotly

Getting start with data visualization tool, Tableau

Data Pre-processing technique - Missing data, Normalization, one hot encoding,

Importing data in Python from different sources, Files

Web Scraping to download web page and extract data

Data scaling and transformation

Exploratory Data analysis

Feature engineering process in Machine Learning system design

Machine learning theory

Apache spark installation : pyspark

Getting started with spark session

Mathey required for machine learning : Statistics, probability

Setup Data Science Virtual machine on Microsoft Azure Cloud



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