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 set of video tutorials in the field of business and in the field of data knowledge and analysis. By watching this tutorial, you will learn how to start learning data and machine learning with the help of Python programming language. The course is for you to learn how to use Python power to analyze data, create beautiful images, and use power machine learning algorithms.

By watching this course, you will be able to analyze very large data with the help of Python. You will also learn how to work with NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Learning Machine, Tensorflow, etc. by watching this video course. Also, according to the publisher of this training course, you need to have a minimum of programming experience to view this course.

Features of Python for Data Science and Machine Learning Bootcamp

Dear students, by observing and learning the tutorials in this training package, you will be able to analyze various data in the field of business. Also, in this training course, a special way has been provided for you on how to use Python to analyze and learn a car. You students will have 149 video tutorials 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: Basic to Advanced

Duration: 24:54:31

Number of lessons: 165 lessons

English language

Python topics 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

User manual

After Extract, watch with your favorite Player.

This tutorial has English subtitles.

The quality of the videos is 720p.

This tutorial was purchased by Downloadli. Let us know if there is a delay in the update.

Changes:

The 2019/4 version is not significantly different from the 2019/2 version. Only the training volume has increased by 100 MB.

The 2019/7 version has not changed in number of courses, time and volume compared to 2019/4. Probably had a slight correction.

The 2019/9 version has reduced the time by about 30 seconds compared to the 2019/7.

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

Version 2020/5 has increased by 1 lesson and 1 minute compared to 2020/1.