Welcome to the course!
-------------------- Part 1: Data Preprocessing --------------------
-------------------- Part 2: Regression --------------------
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Support Vector Regression (SVR)
Decision Tree Regression
Random Forest Regression
Evaluating Regression Models Performance-------------------- Part 3: Classification --------------------
Logistic Regression
K-Nearest Neighbors (K-NN)
Support Vector Machine (SVM)
Kernel SVM
Naive Bayes
Decision Tree Classification
Random Forest Classification
Evaluating Classification Models Performance-------------------- Part 4: Clustering --------------------
K-Means Clustering
-------------------- Part 5: Association Rule Learning --------------------
Apriori
-------------------- Part 6: Reinforcement Learning --------------------
Upper Confidence Bound (UCB)
-------------------- Part 7: Natural Language Processing --------------------
-------------------- Part 8: Deep Learning --------------------
Artificial Neural Networks
Convolutional Neural Networks-------------------- Part 9: Dimensionality Reduction --------------------
Principal Component Analysis (PCA)
Linear Discriminant Analysis (LDA)
Kernel PCA-------------------- Part 10: Model Selection & Boosting --------------------
Model Selection
XGBoost
Machine Learning
Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This course is fun and exciting, but at the same time we dive deep into Machine Learning.
If you are interested in this course, you can either:
- Reach us using Contact page of our site
- Mail us directly on our email_id: preceptortechno@gmail.com with the Course Title along with your details (Mobile no. & Email ID) & any specific message/informtion /query you want to share with us.
Note:
We also provide customized courses as per the need of the candidate, please share your expectations from the course & the topics you want to be covered, we can work along & prepare the right course for you.