DataGiri's Code-along Saturdays
Details
Welcome to DataGiri's Code-Along Saturdays workshop. This is your opportunity to learn hands-on a wide variety of data science skills at this 8-hour workshop. In addition, to growing your skill set, you also get to network with peers and industry professionals.
The event is FREE. Please note that you are required to bring along your own laptops to participate in the workshop. Your laptop must have Anaconda 3.6 pre-installed before you begin the workshop. Find the software here: www.anaconda.com/download/#macos.
REGISTER HERE : https://bit.ly/2RpYhmo
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*Agenda:
10:00 AM - 12:00 PM : DATA PREPROCESSING
12:00 PM - 2:00 PM : Data visualization using Matplotlib
2:00 PM - 4:00 PM : Logistic regression
4:00 PM - 6:00 PM : Boosting
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- Session #1:
Topic: DATA PREPROCESSING
Instructor : Arghya Mukherjee
Learning Outcomes : Students will be able to clean and standardize data before applying ML models on top of it and understand why it is necessary.
Key Takeaways :
- Label encoding and One-hot-encoding categorical variables
- Missing value imputation
- Detecting and removing outliers
- Feature transformation
- Correlation analysis
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*Session #2:
Topic: Data visualization using Matplotlib
Instructor : Rahul Mishra
Learning Outcomes : Students will learn how to visualize data and find insights using the powerful python library of matplotlib
Key Takeaways :
- Importance of visualizing data
- Vizualizing data using different matplotlib graphs
- Analyzing the data and getting insights
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*Session #3
Topic : Logistic Regression
Instructor : Bijit Deka
Learning Outcomes : Students will learn how to find an extract relevant features in a dataseta and carry out basic binary classification using these features
Key Takeaways :
- Concept of classification in ML
- Using logistic regression for classification problem
- Implementing logistic regression using sklearn
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*Session #4
Topic : Boosting
Instructor : Naman Bhayani
Learning Outcome : Understand the intuition behind Boosting and it's advantages over the other ensemble methods
Key Takeaway : -
- Intuition behind Boosting
- Working of Boosting Models
- Different types of Boosting
- Implementation of Boosting using Sklearn and XGBoost
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A deep insight into Data Science by some of the top Analytics professionals in the industry followed by an hour-long networking with the leaders in Data Science, Analytics and get an opportunity to interact with leaders and your peers in our mixed format sessions. Network with the start-up Founders to see if your skills match what they are looking out for!
The workshop is FREE of cost to attend
RSVP now to reserve your spot at the event!!
