Learn Machine Learning 101 Class Bootcamp Course NYC

Machine Learning 101 Class Bootcamp Course Intro to AI
Instructed by: Shivgan Joshi | Subject: Development, Software Engineering

Description

Machine Learning 101 Class Bootcamp Course NYC Python Scikit-learn Library Supervised vs Unsupervised Learning Regression vs Classification models Categorical vs Continuous feature spaces Modeling Fundamentals: Test-train split, Cross validation(CV), Bias–variance tradeoff, Precision and Recall, Ensemble models Interpreting Results of Regression and Classification Models (Hands On) Parameters and Hyper Parameters SVM, K-Nearest Neighbor, Neural Networks Dimension Reduction Hands on: Understanding and Interpreting results of Regression and Logistic Regression using Google Spreadsheets and Python Calculating R-Square, MSE, Logit manually in excel for enhanced understanding (Multiple Regression) Understanding features of Popular Datasets: Titanic, Iris (Scikit) and Housing Prices Running Logistic Regression on Titanic Data Set Running Regression, Logistic Regression, SVM and Random Forest on Iris Dataset Who this course is for: Python and Data Analytics Programmers with no knowledge of Maths New Entrants in Data Science Field

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Course Info

• 19 Lectures
• 1.5 Hours
• Language: English
• Subject: Development, Software Engineering
• Instructed by: Shivgan Joshi
• Platform: Udemy