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harshit1531/README.md

Hi πŸ‘‹, I'm Harshit Mahajan

harshit1531

πŸ’« About Me:

πŸ‘€ I’m interested in:
Data Science and Machine learning,
particulary interested in Data Wrangling (Cleaning the data fascinates me),
Exploratory Data Analysis (Without this how can i Live)
and Mostly in the field of Classical Machine Learning (For Now)

🌱 I’m currently learning and Working on:
Machine learning Models and Working on some capstone projects.

πŸ’žοΈ I’m looking to collaborate on:
Any data science and machine learning related projects

🌐 Socials:

LinkedIn Instagram Stack Overflow

πŸ’» Tech Stack:

Python Anaconda MySQL scikit-learn SciPy Pandas NumPy Django

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

✍️ Random Quote

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  1. Healthcare-Predicting-Diabetes-A-Data-Driven-Approach-to-Understanding-and-Treating-Chronic-Diseases Healthcare-Predicting-Diabetes-A-Data-Driven-Approach-to-Understanding-and-Treating-Chronic-Diseases Public

    This project aimed to predict whether or not a patient had diabetes using data from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). The dataset included various medica…

    Jupyter Notebook

  2. Movielens-Case-Study Movielens-Case-Study Public

    Performed analysis using Exploratory Data Analysis technique.Found features affecting the ratings of any particular movie and build a model to predict the movie ratings.

    Jupyter Notebook

  3. Mercedes-Benz-Greener-Manufacturing Mercedes-Benz-Greener-Manufacturing Public

    Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal a…

    Jupyter Notebook

  4. Comcast-Telecom-Consumer-Complaints-Analysis Comcast-Telecom-Consumer-Complaints-Analysis Public

    This project was completed as a part of assessment for Data Science with Python module. We used different Python libraries such as NumPy, SciPy, Pandas, scikit-learn and matplotlib to complete the …

    Jupyter Notebook

  5. Customer-Service-Requests-Analysis. Customer-Service-Requests-Analysis. Public

    Perform data analysis of service request (311) calls from New York City. I have utilized data wrangling techniques to understand the pattern in the data and visualize the major types of complaints.

    Jupyter Notebook

  6. Web-Scrapping-API Web-Scrapping-API Public

    Jupyter Notebook