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!
Kaggle Competitions
Kaggle Datasets
Kaggle Kernels
Kaggle Public API
Project: Titanic - Machine Learning from Disaster
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22Installing and Authenticating
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23Kaggle API with Competitions
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24Listing Competitions and Competition Files
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25Downloading a Competition
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26Kaggle API with Datasets
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27Listing and Downloading Datasets
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28Creating and Maintaining Datasets
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29Kaggle API with Kernels
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30Listing Kaggle Kernels
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31Kernel Metadata File
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32Push and Pull a Kernel
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33Checking the Status and Output of a Kernel
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34Creating and Running a New Kernel
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35Creating and Running a New Kernel Version
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36Configurations
Project: Iris Species Classification
Project: House Price Prediction
Theory: Survival Regression Analysis
Project: Telco Customer Churn
Project: Avocado Prices Forecasting
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52Introduction to Telco Customer Churn Dataset
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53Telco Customer Churn Pipeline: Data Analysis and Visualization
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54Telco Customer Churn Pipeline: Data Preprocessing
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55Survival Analysis to predict Churn using Kaplan-Meier Estimate
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56Survival Regression Analysis using Cox Proportional Hazard Regression Model
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57Survival Regression Analysis to Predict Churn Project Notebook