Introduction to Machine Learning & Logistic Regression Workshop| Women Who Code

GDG Cloud Silicon Valley
Mon, Apr 15, 2019, 6:30 PM (PDT)

About this event


- Introduction to Machine Learning
- Exploratory Data Analysis (Feature selection mainly)
- Predictive Modeling (A quick introduction to Supervised an Unsupervised models)
- Introduction to Logistic regression
- Logistic Regression model building using an example use case from Kaggle

1. Python 3 installed
2. Anaconda installed and Jupyter notebook running
3. Download the data (The data file is known as data.csv)
4. Download all the dependent python libraries in your system(Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn, Statsmodels)

P.S: Some experience with programming will help. It's not a must though.

The above content, in order to cover elaborately might take 4-5 hours but we are going to try our best to cover it in 2/2.5 hours by not deep diving into the statistics part of most of the topics and getting into the hands-on bits right away.

If people are interested we will set up another workshop so we can go deeper.