Machine Learning 101 Class Bootcamp Course Intro to AI
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
Learn Terms used in Machine Learning in Python 312 285 6886
Learn the Basics of Model building without math or programming knowledge
Entry point to Data Science, Machine Learning Career in NYC New York
16 Lectures
Executive Training / Workforce Development ServicesPython SQL 101 Class Bootcamp Big Data Sciene Data Analytics Tutor NYC, New York 929 356 5046 Learn Python in NYC!Shivgan Joshi is an expert tutor based out of NYC, New York NY. Developed various passive course for bootcamps in Data Analytics, took classes at USA (New York) and India. Training theme centered around projects,...
excellent
Very detail & easy to understand topics .
it is a hands-on boot camp that should be much more focused on letting things know and describing more instead of just taking the names of books and websites and saying "I will not go deep into this more"
Yes....It wiil really helpful for me...Thank you....!
Not bad for ML introduction
amazing lecture
you are voice too low in some lecture
The instructor talks too fast.
Well described.
Dont go for this course if you're a newbie. The teacher is absolute dogshit and doesnt know what he's talking about. He just made a few low effort slides and keeps babbling utter shit in a reluctant manner. He doesnt sound interested in teaching and I highly doubt how knowledgeable he actually is in ML. However, if you wanna revise what you learnt in ML you can just skim through the slides and that's it. Total waste of time
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