Kaggle Masterclass - build a Data Science Portfolio
- Description
- Curriculum
- FAQ
- Reviews
This, one of a kind, Career-ready Masterclass is designed to help you gain hands-on and in-depth exposure to the domain of Data Science by adopting the learn by doing approach. And the best way to land your dream job is to build a portfolio of projects. And the best platform for a Data Scientist is Kaggle!
This course will give you an in-depth hands-on experience with a variety of projects from the following. By completing these projects you will gain hands-on experience with:
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Data Analysis
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Exploratory Data Analysis
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Machine Learning
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Deep Learning
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Computer Vision
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Natural Language Processing
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and more!
This course primarily focuses on helping you stand out by building a portfolio comprising of a series of Jupyter Notebooks in Python that utilizes Competitions and Public Datasets hosted on the Kaggle platform. You will set up your Kaggle profile that will help you stand out for future employment opportunities!
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22
Installing and Authenticating -
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Kaggle API with Competitions
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24
Listing Competitions and Competition Files
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25
Downloading a Competition
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26
Kaggle API with Datasets
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27
Listing and Downloading Datasets
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28
Creating and Maintaining Datasets
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29
Kaggle API with Kernels
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30
Listing Kaggle Kernels
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31
Kernel Metadata File
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32
Push and Pull a Kernel
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33
Checking the Status and Output of a Kernel
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34
Creating and Running a New Kernel
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35
Creating and Running a New Kernel Version
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36
Configurations
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52
Introduction to Telco Customer Churn Dataset
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53
Telco Customer Churn Pipeline: Data Analysis and Visualization
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54
Telco Customer Churn Pipeline: Data Preprocessing
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55
Survival Analysis to predict Churn using Kaplan-Meier Estimate
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56
Survival Regression Analysis using Cox Proportional Hazard Regression Model
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57
Survival Regression Analysis to Predict Churn Project Notebook
