Mentorship Program — Introduction to Machine Learning
About Program: This is a group mentorship program. We will discuss about the mentioned ML concepts and where it is getting implemented practically along with challenges. It will be interactive sessions where participants doubt as well as industry standard practical measures will be discussed. It will be more focused on conceptual and business use cases rather than the implementation or coding.
Total Participants: 4 to 6
Start Date: 28-January-2024 (Intro Session)
Duration: 4 Weeks
Program Structure:
- Every week participants will receive video / blog material on the topics. Watch or read those at your own time.
- Every week there will be live discussion / doubt solving session on Tuesday and Thursday at evening 9PM to 10PM
Payment Model: Pay What You Want
Contact: https://www.linkedin.com/in/harshal-kothawade/ (DM me on linkedIn)
Topics Covered:
· Overview of Machine Learning
· Types of Machine Learning (Supervised, Unsupervised)
· Applications of Machine Learning
· Data Cleaning and Handling Missing Values
· Exploratory Data Analysis (EDA)
· Feature Scaling and Transformation
· Introduction to Supervised Learning
· Linear Regression
· Logistic Regression
· Decision Trees and Random Forests
· Introduction to Unsupervised Learning
· Clustering (K-Means, Hierarchical)
· Cluster Profiling
· Dimensionality Reduction (PCA)
· Classification Model
· Regression Model
· Cross-Validation
· Bias-Variance Tradeoff
· Hyperparameter Tuning
· Grid Search and Random Search
Looking forward to connecting with you!!!
FAQ
- Is this a certification course? — No
- Is there placement support after this course? — No
- Can I share course materials (video links or blogs) with others? — Yes
Note on Course Materials
The course materials (videos or blog posts) are not necessarily created or written by me. I will share the materials from other creators or authors who has explained or communicated the topics with easy to understand language. I don’t hold any rights over these materials (which are not created by me). I don’t endorse any brand or individual creator (whose materials I am sharing). These are shared with sole purpose of simplifying the education and making it accessible to masses.
