Understand the Complete Data Science use through a Real Life problem – The Easiest Way to Understand Data Science
Data Science Approach from Scratch: An Easy Explanation
Welcome to the ultimate course on Data Science Approach from Scratch!!!
This course is your Best Resource for learning the use of Data Science.
We will be understanding the use of:
1. Data Science from a layman’s perspective
2. Regression Algorithms
3. Classification Algorithms
4. Clustering Algorithms
5. Boosting Algorithms
6. Dimensionality Reduction Algorithms
Specifically, we will cover:
- Linear Regression
- Stepwise Regression
- Polynomial Regression
- Logistic Regression
- Naive Bayes
- Decision Trees
- Random Forest
- Support Vector Machine
- Gradient Boosting
- Principal Component Analysis and Linear Discriminant Analysis
- K-means Clustering and Hierarchical Clustering
- and much more!
Feel free to message me on Udemy if you have any questions about the course!
Thanks for checking out the course page, and I hope to see you inside the course!
Who this course is for:
- Aspiring Data Scientists
- Data Science Enthusiasts
- Students and professionals curious about Data Science