Skip to content
View sahil-67's full-sized avatar

Block or report sahil-67

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sahil-67/README.md

👋 Hi there, I'm Sahil (@sahil-67)!

🧠 Passionate about the fascinating realms of machine learning and data science

🌱 Currently immersing myself in the practical applications of ML & data science in real-world industries

🔍 Eager to explore innovative ways to extract insights from data and drive meaningful impact

💡 Constantly expanding my knowledge and skills to stay at the forefront of this rapidly evolving field

🌟 Let's connect and collaborate on exciting projects in the world of ML and data science

📫 Feel free to reach out to me at er.sahil67@gmail.com. Let's explore the endless possibilities together!

Popular repositories Loading

  1. Machine-Learning Machine-Learning Public

    Jupyter Notebook

  2. sahil-67 sahil-67 Public

    Config files for my GitHub profile.

  3. python_mini_projects python_mini_projects Public

    Jupyter Notebook

  4. Book_Recommender_System Book_Recommender_System Public

    Created a collaborative filtering book recommender system that offers personalized recommendations for users, suggesting five relevant books based on their preferences and similarities with others.

    Jupyter Notebook

  5. Titanic_Survival_Prediction Titanic_Survival_Prediction Public

    Developed a machine learning model using the Random Forest Classifier algorithm to predict the survival of passengers on the Titanic. Analyzed the Titanic dataset, performed data preprocessing, fea…

    Jupyter Notebook

  6. Gold_Price_Prediction Gold_Price_Prediction Public

    In this project, Random Forest Regression was used to predict the price of gold using historical gold price data from 2008 to 2018. The model learned patterns and trends from the data to make accur…

    Jupyter Notebook