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rafiddeshmukh/README.md

💫 About Me:

Hello,I'm a data scientist with a passion for discovering insights from complex data sets. I have a strong technical background, and I'm proficient in programming languages such as Python and SQL. I possess excellent analytical and problem-solving skills, and I'm always on the lookout for potential biases in data. I'm constantly exploring new techniques and methods to improve my skills and stay up-to-date with the latest trends in the field.

data

🌐 Socials:

rafiddeshmukh

💻 Languages and Tools:

mysql opencv pandas postgresql python pytorch scikit_learn seaborn tensorflow

📊 GitHub Stats:

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  1. Netflix_Movies_and_TV_Shows_Clustering Netflix_Movies_and_TV_Shows_Clustering Public

    This dataset consists of tv shows and movies available on Netflix as of 2019. Clustering Movies and TV shows

    Jupyter Notebook

  2. Classification-Mobile_Price_Range_Prediction Classification-Mobile_Price_Range_Prediction Public

    Machine Learning Classification Model for predicting Mobile Price Range ( low cost, medium cost, high cost, very high cost)

    Jupyter Notebook

  3. Regression-Bike_Sharing_Demand_Prediction Regression-Bike_Sharing_Demand_Prediction Public

    Machine Learning Regression model For Bike Sharing Demand Prediction

    Jupyter Notebook

  4. EDA-Hotel_Booking EDA-Hotel_Booking Public

    Explore and analyze the data to discover important factors that govern the bookings.

    Jupyter Notebook 1