Data Science in Python Pandas, Scikit-learn,Numpy Matplotlib

Ankit Mistry, Big data and machine learning engineer

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61 Videos (6h 51m)
    • Course Overview

      1:29
    • Download and Install Anaconda - Python

      6:01
    • Overview Of Jupyter Notebook

      5:25
    • Introduction - Python

      1:40
    • Python - Number, String, Variable

      11:41
    • Python - List, tuples, Dictionary, Set

      12:46
    • Python - If/else, Looping

      10:47
    • Python - Function, Lambda, Map

      13:03
    • Introduction - Numpy - Numerica Python

      3:15
    • Numpy array

      14:06
    • Numpy array operations

      6:14
    • Indexing, Slicing - Numpy array

      10:09
    • Introduction - Pandas

      2:32
    • Pandas - Introduction to Series

      7:01
    • Pandas - Introduction to Dataframe

      11:29
    • Dataframe - Index, Multiindex

      8:38
    • Handling Missing Data - dropna, fillna

      7:52
    • Grouping data

      10:37
    • Read, Write .csv, .html, excel file

      5:20
    • Visualization of data with pandas

      7:27
    • Introduction - Matplotlib

      2:53
    • MatplotLib - Basic plotting, Plotting terminology

      9:40
    • MatplotLib - Subplots

      4:12
    • Matplotlib - Special plot

      3:32
    • Introduction - Web Scraping

      2:03
    • What is Web Scraping

      6:59
    • Web Scraping Process

      6:15
    • Search Element by TagName and TagByClass

      8:50
    • What is Machine Learning

      3:24
    • How Machine Learning system works

      4:41
    • Different Types of Machine Learning system- Supervised vs Unsupervised learning

      5:01
    • Parametric vs Non-parametric machine learning system

      7:43
    • Machine Learning system design and Scikit learn

      6:37
    • Plotly - introduction

      3:01
    • Basic plotting - plotly

      8:00
    • Plotly - Bar chart

      4:09
    • Plotly - Bubble chart

      3:28
    • Plotly - Histogram and Distribution plot

      11:48
    • Plotly scatter and line chart

      10:27
    • Reading Plain text file

      4:39
    • Reading .csv file

      7:24
    • Reading Excel and .m Matlab file

      4:05
    • Read Sqlite Database

      3:52
    • Fetch Data from Remote file

      6:50
    • Fetch Data from Facebook API

      9:09
    • Introduction - Data preprocessing

      2:06
    • Reading Data

      5:17
    • Handling Missing Data

      8:44
    • Categorical Data

      10:59
    • Splitting Data in Training and Testing Set

      3:49
    • Normalize Data

      7:38
    • EDA of pima indian diabetes dataset

      11:44
    • Visualize pima indian diabetes dataset

      9:34
    • Introduction - Data transformation and Scaling Data

      3:09
    • Rescale data - Standardize data

      7:40
    • Normalize Data - Binarize Data

      6:02
    • Introduction to feature selection

      4:14
    • Univariate feature selection

      6:47
    • Recursive feature elimination

      5:28
    • Principal component analysis

      6:33
    • Remove feature with low variance

      5:10
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About This Class

Data Scientist: The Sexiest Job of the 21st Century - By Harvard Business review

The average data scientist today earns $130,000 a year  by  glassdoor.

Want to join me for your journey towards becoming Data Scientist, Machine Learning Engineer.

This is first introductory course to get started data analysis, Machine learning and advanced AI algorithm implementation

This course will teach you - All Basic python library required for data analysis process.

  • Python  crash course
  • Numerical Python - Numpy
  • Pandas - data analysis
  • Matplotlib for data visualization

This course is for beginner and some experienced programmer who want to make career in DataScience and  Machine learning, AI.

Prequisite :

  • basic knowledge in python programming
  • High School mathematics

Enroll in this course and take first step in wonderful world of Data.

See you in field.

Sincerely,

Ankit Mistry

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Ankit Mistry

Big data and machine learning engineer