samedi 23 mai 2020

Udemy - Python for Data Science and Machine Learning Bootcamp 2020-5

Udemy - Python for Data Science and Machine Learning Bootcamp 2020-5



Description

Python for Data Science and Machine Learning Bootcamp , is the name of a video tutorial series on business and business in the field of data science and analysis. By watching this tutorial, you will learn how to start learning data and machine learning with the help of the Python programming language. The next step is to learn how to use Python power to analyze data, create beautiful ideas, and use power machine learning algorithms.

By watching this training course, you will be able to analyze very large data with the help of Python. You'll also learn how to work with NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Learning Machine, Tensorflow, and more. Also, according to the publisher of this course, you need to have at least some programming experience to view this course.

Features of Python training course for Data Science and Machine Learning Bootcamp

Dear students, by observing and learning the teachings in this educational collection, you will be able to analyze various data in the field of trade and business. Also, in this training course, you are provided with a special way of using Python to analyze and learn the machine. You students will have 149 video tutorial sessions in front of you to watch all the videos of this course.

Course specifications:

  • Publisher: Udemy
  • Instructor: Jose Portilla, Pierian Data International by Jose Portilla
  • Level: Introductory to advanced
  • Duration: 24:54:31
  • Number of lessons: 165 lessons
  • English language

Python headings for Data Science and Machine Learning Bootcamp

Course content
165 lectures 24:54:31

Course Introduction
3 lectures 07:11

Environment Set-Up
1 lecture 11:14

Jupyter Overview
3 lectures 23:48

Python Crash Course
8 lectures 01:24:13

Python for Data Analysis - NumPy
8 lectures 01:03:43

Python for Data Analysis - Pandas
11 lectures 01:42:36

Python for Data Analysis - Pandas Exercises
5 lectures 35:05

Python for Data Visualization - Matplotlib
7 lectures 01:00:08

Python for Data Visualization - Seaborn
9 lectures 01:21:54

Python for Data Visualization - Pandas Built-in Data Visualization
3 lectures 23:44

Python for Data Visualization - Plotly and Cufflinks
3 lectures 22:53

Python for Data Visualization - Geographical Plotting
5 lectures 40:29

Data Capstone Project
9 lectures 01:18:34

Introduction to Machine Learning
6 lectures 40:53

Linear Regression
6 lectures 51:34

Cross Validation and Bias-Variance Trade-Off
1 lecture 06:25

Logistic Regression
6 lectures 01:07:29

K Nearest Neighbors
4 lectures 40:42

Decision Trees and Random Forests
5 lectures 44:58

Support Vector Machines
4 lectures 34:58

K Means Clustering
4 lectures 37:21

Principal Component Analysis
2 lectures 20:24

Recommender Systems
3 lectures 31:10

Natural Language Processing
6 lectures 01:18:54

Neural Nets and Deep Learning
30 lectures 05:01:50

Big Data and Spark with Python
12 lectures 01:42:06

BONUS SECTION: THANK YOU!
1 lecture 00:10

prerequisites:

  • Some programming experience
  • Admin permissions to download files

Python images for Data Science and Machine Learning Bootcamp

Python for Data Science and Machine Learning Bootcamp

Sample movie

user manual

After Extract, view with your favorite Player.

This tutorial has English subtitles.

Movie quality is 720p.

This tutorial was purchased by Downloadley. Remind us if there is a delay in the update.

Changes:

The 2019/4 version does not change much compared to the 2019/2 version. Only the training volume has increased by 100 MB.

The 2019/7 version has not changed the number of courses, time and volume compared to 2019/4. He probably had a small correction.

The 2019/9 version is about 30 seconds slower than the 2019/7.

The 2020/1 version has increased by 15 lessons and about 2.5 hours compared to 9/9/2019.

The 2020/05 version has increased by 1 lesson and 1 minute compared to 2020/1.

download link

Download Section 1 - 1 GB

Download Section 2 - 1 GB

Download Section 3 - 1 GB

Download Section 4 - 1 GB

Download Section 5 - 474 MB

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