Master of Data Sciences, Machine Learning and Deep Learning

The Yoohoo Complete Data Science, Machine Learning and Deep Learning bundle offers a comprehensive learning experience in the realm of data science using Python for analysis. This course equips learners with the essential skills to manipulate and analyze data effectively, utilizing Python as the primary programming language. Covering a broad spectrum of topics, from data cleaning and preprocessing to advanced statistical analysis, machine learning, and visualization techniques, participants gain hands-on experience in real-world scenarios. The Yoohoo bundle ensures a well-rounded understanding of data science concepts, empowering individuals to harness the power of Python for robust data analysis and interpretation, making it an invaluable resource for aspiring data scientists and analysts.

What You Will Learn:

1. Introduction to Data Science:

Understanding the fundamentals of data science and its applications in various industries.

2. Python Programming for Data Science:

Mastering Python basics and advanced concepts tailored for data analysis.

3. Data Cleaning and Preprocessing:

Techniques for handling missing data, outliers, and preparing datasets for analysis.

4. Exploratory Data Analysis (EDA):

Learning statistical and visual methods to explore and summarize dataset characteristics.

5. Statistical Analysis with Python:

Applying statistical tests and models for hypothesis testing and drawing meaningful conclusions.

6. Machine Learning Basics:

Introduction to machine learning algorithms, model training, and evaluation.

7. Advanced Machine Learning Techniques:

Delving into advanced algorithms, feature engineering, and model optimization.

8. Data Visualization with Python:

Creating compelling visualizations to communicate insights effectively.

9. Real-world Applications and Case Studies:

Applying learned skills to solve practical problems through hands-on projects and case studies.

Courses

1. Python Foundations
2. Fundamental of Machine Learning and Data Science
3. Python for Business Data Analytics & Intelligence
4. Python Course Beginner to Advanced 2023
5. Intro to Coding with Python Turtle
6. Build a Camera App for Raspberry Pi
7. Image Processing with Python with Project
8. Fetching Data from APIs with Python
9. Numpy Matrices and Vectors
10. Learn Python 3 with Program a Game
11. Python Data Visualization
12. Cluster Analysis and Unsupervised Machine Learning in Python
13. Unsupervised Machine Learning Hidden Markov Models in Python
14. Statistics & Machine Learning Techniques For Regression Analysis With Python
15. Quant Trading Using Machine Learning
16. An Introduction to Machine Learning & NLP in Python
17. Learn Tableau Desktop 9 from Scratch for Data Science
18. Applied Machine Learning and Deep Learning with R
19. Bayesian Machine Learning in Python AB Testing
20. Identifying Behaviour Patterns using Machine Learning Techniques
21. Machine Learning with TensorFlow
22. Harness the Power of the H2O Framework For Machine Learning in R
23. Statistics and Machine Learning For Regression Modelling With R
24. Data Science Supervised Machine Learning in Python
25. Complete Data Science Training with Python for Data Analysis
26. Data Science Natural Language Processing (NLP) in Python
27. Data Analysis with Pandas
28. Data Insights with Cluster Analysis
29. Big Data with PySpark and Spark
30. Analytics, Machine Learning & NLP in Python
31. Advanced Statistics and Data Mining for Data Science
32. Statistics and Data Science in R Course
33. PyTorch for Deep Learning in 2023
34. Data Science Deep Learning in Python
35. TensorFlow Developer Certificate in 2023
36. Machine Learning for Beginners with TensorFlow
37. Advance Deep Learning with TensorFlow
38. Machine Learning and TensorFlow on the Google Cloud