[Free] Learn Machine Learning 101 Class Bootcamp Course Nyc

Machine Learning 101 Class Bootcamp Course Intro to AI

Added on June 10, 2026 Development 1 min read

Requirements

• Python 101 (3-10 hours)
• Data Science 101 (3-10 hours)
• Career in Data Science (3-10 hours)

Description

Machine Learning 101 Class Bootcamp Course NYC

1. Python Scikit-learn Library

2. Supervised vs Unsupervised Learning

3. Regression vs Classification models

4. Categorical vs Continuous feature spaces

5. Modeling Fundamentals: Test-train split, Cross validation(CV), Bias–variance tradeoff, Precision and Recall, Ensemble models

6. Interpreting Results of Regression and Classification Models (Hands On)

7. Parameters and Hyper Parameters

8. SVM, K-Nearest Neighbor, Neural Networks

9. Dimension Reduction

Hands on:

1. Understanding and Interpreting results of Regression and Logistic Regression using Google Spreadsheets and Python

2. Calculating R-Square, MSE, Logit manually in excel for enhanced understanding (Multiple Regression)

3. Understanding features of Popular Datasets: Titanic, Iris (Scikit) and Housing Prices

4. Running Logistic Regression on Titanic Data Set

5. Running Regression, Logistic Regression, SVM and Random Forest on Iris Dataset

Author(s): Shivgan Joshi, Prakash Chandr Nandanwar, abhi verma