free MACHINE LEARNING A-Z : BECOME KAGGLE MASTER

  • Hello Members and Guests!! This is the admin of the site, and i would like to announce that i am willingly want to sell the ownership and all the credientials of this site. Interested persons are suggested to contact. Email: [email protected] Facebook: https://facebook.com/rifat.7665

Admin

Administrator
Staff member
Jan 5, 2019
65
2
8
Coin
1,186¢
#1

Master Machine Learning Algorithms Using Python From Beginner to Super Advance Level including Mathematical Insights.

Created by Teclov Pvt Ltd
Last updated 11/2018
English
What you’ll learn
  • Master Machine Learning on Python
  • Learn to use MatplotLib for Python Plotting
  • Learn to use Numpy and Pandas for Data Analysis
  • Learn to use Seaborn for Statistical Plots
  • Learn All the Mathmatics Required to understand Machine Learning Algorithms
  • Implement Machine Learning Algorithms along with Mathematic intutions
  • Projects of Kaggle Level are included with Complete Solutions
  • Learning End to End Data Science Solutions
  • All Advanced Level Machine Learning Algorithms and Techniques like Regularisations , Boosting , Bagging and many more included
  • Learn All Statistical concepts To Make You Ninza in Machine Learning
  • Real World Case Studies
  • Model Performance Metrics
  • Deep Learning
  • Model Selection
Requirements
  • Any Beginner Can Start this Course
  • 2+2 knowledge is more than sufficient as we have covered almost everything from scratch.
Description
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. Multiple Linear regression
11. Hotstar/ Netflix: Case Study

12. Gradient Descent
13. KNN
14. Model Performance Metrics
15. Model Selection
16. Naive Bayes

17. Logistic Regression
18. SVM
19. Decision Tree
20. Ensembles – Bagging / Boosting
21. Unsupervised Learning
22. Dimension Reduction
23. Advance ML Algorithms
24. Deep Learning
Who this course is for:
  • This course is meant for anyone who wants to become a Data Scientist
Course content
Expand all 257 lectures 36:19:26

Size: 13.97G


Download Torrent:
 

Similar threads