-
🌱 I’m currently exploring Machine Learning, Deep Learning & Generative AI
-
👨💻 Check out all my projects and work on my LinkedIn profile
-
💬 Feel free to ask me about SQL, Python, Tableau, Power BI, ML, DL, NLP, LLMs, and Generative AI
-
📫 You can reach me at akarshan.kapoor7@gmail.com
- India
- in/akarshankapoor
Pinned Loading
-
Comprehensive-ML-Project-on-Sales-Forcasting-using-Facebook-Prophet-
Comprehensive-ML-Project-on-Sales-Forcasting-using-Facebook-Prophet- PublicA comprehensive machine learning project using Facebook's Prophet to forecast future sales. The model utilized historical data and effectively accounted for various factors, including seasonality e…
Jupyter Notebook 1
-
E-Commerce-Website-Reviews-Sentiment-Analysis-
E-Commerce-Website-Reviews-Sentiment-Analysis- PublicFlipkart E-Commerce Reviews Sentiment Analysis examines customer reviews to gauge sentiment—positive, negative, or neutral. This helps Flipkart understand customer satisfaction, identify issues, an…
Jupyter Notebook 1
-
Time-Series_Analysis_using_python
Time-Series_Analysis_using_python Publicdetailed and comprehensive time-series analysis using python (includes ARIMA and SARIMA)
Jupyter Notebook 1
-
Sales-Rate-Conversion---Power-BI-Case-Study
Sales-Rate-Conversion---Power-BI-Case-Study PublicObjective The objective of this case study is to analyze a company's sales data to gain insights into the performance of individual salespersons and the sales team as a whole. Based on this analysi…
-
Dynamic_Pricing_model_in-python
Dynamic_Pricing_model_in-python PublicDynamic Ride Pricing App This is a Streamlit web application designed to implement a dynamic pricing model for ride-sharing platforms.
Jupyter Notebook 1
-
End-to-End-Churn-Analysis-Project-My-SQL-Power-BI-ML-
End-to-End-Churn-Analysis-Project-My-SQL-Power-BI-ML- PublicThis project analyzes telecom customer churn using an ETL pipeline in SQL Server, Power BI dashboards, and a Random Forest model in Python. It identifies at-risk customers and key churn drivers. In…
Jupyter Notebook 1
If the problem persists, check the GitHub status page or contact support.