Srbija Posted December 24, 2020 Share #1 Posted December 24, 2020 (edited) Data Science Statistics A-Z : Python Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz Language: English | SRT | Size: 5.46 GB | Duration: 14h 7m What you'll learn Master Data Science on Python Learn to use Numpy and Pandas for Data Analysis Learn All the Mathematics Required to understand Machine Learning Algorithms Real World Case Studies Learn to use MatplotLib for Python Plotting Learn to use Seaborn for Statistical Plots Learning End to End Data Science Solutions Learn All Statistical concepts To Make You Ninza in Machine Learning 2 Real time time project with detailed explaination Requirements Any Beginner Can Start this Course 2+2 knowledge is more than sufficient as we have covered almost everything from scratch. Description Want to become a good Data Scientist? Then this is a right course for you. This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well. We will walk you step-by-step into the World of Data science. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advance level. This course is a part of "Machine Learning A-Z : Become Kaggle Master", so if you have already taken that course, you need not buy this course. This course includes 2 Project related to Data science. We have covered following topics in detail in this course: 1. Python Fundamentals 2. Numpy 3. Pandas 4. Some Fun with Maths 5. Inferential Statistics 6. Hypothesis Testing 7. Data Visualisation 8. EDA 9. Simple Linear Regression 10. Project1 11. Project2 Who this course is for: This course is meant for anyone who wants to become a Data Scientist Homepage Hidden Content Give reaction to this post to see the hidden content. Hidden Content Give reaction to this post to see the hidden content. Edited February 19, 2021 by Bad Karma Dead links removed Link to comment
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