Published on: 2021-11-14 13:30:16
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Python for Data Science and Machine Learning Bootcamp , name of the training video series in the field of trade and business and in the branches of knowledge, data and analysis can be. You are viewing the training set and learn how to help the programming language Python to start learning, knowledge, data, and machine learning (Machine Learning) to do. Course, you to learn how to use the power of Python for data analysis, etc. create imagination, and the use of machine learning algorithms, the power can be.
You view this course able you will be to analyze the data is very large, with the help of Python do. Also, you view the course video how to work with NumPy, etc. Pandas., The Seaborn, etc. Matplotlib, etc. Plotly., the Scikit-Learn, etc. Learning, Machine, etc. Tensorflow and also learn. Also quotes from the publisher this course, you to view this course requires a minimum of programming experience can be.
You students cherish by viewing learning and training available in the training set to be able to analyze various data in the field of trade and business will be. Also in this period, training for special how to use Python for parsing and machine learning for you is provided. You students to view all the video games this period, 149 session, the training video on your have.
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
After the Extract with the Player your custom view.
This tutorial has subtitles in English.
Quality Movies, 720p is.
Changes:
Version 2019/4 compared to 2019/2 a certain change is not seen. Just the volume of training, 100 MB has increased.
Version 2019/7 compared to 2019/4 change in the number of courses, time and size is not. Probably a slight modification is.
Version 2019/9 compared to 2019/7 about 30 seconds, reduced time.
Version 2020/1 compared to 2019/9 a total of 15 lessons, and about 2.5 hours increased.
Version 2020/5 compared to 2020/1, the number of 1 lesson and 1 minute increased.
4.46 GB
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