Gokulakkrizhna
Aspiring data scientist with a passion for uncovering insights from complex datasets. Proficient in Python, SQL, Data Analysis and Data Visualization
Pinned Repositories
Airbnb_analysis
This project helps user to perform trend analysis, pattern recognition, and deriving data insights through exploratory data analysis (EDA) for the Airbnb data. Created an interactive Powerbi dashboard to analyze Airbnb data.
industrial-copper-modelling
We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.
PhonePe-Pulse
This project facilitates users to retrieve PhonePe transaction and user data, store it in a MySQL database. Subsequently, the stored data is visualized in a Streamlit web application using Plotly and Pandas DataFrame.
sentiment_analysis
We use machine learning models to analyze people's opinions about GUVI from Twitter. Our document explains how we clean and prepare the data, create useful features, choose the best models, and improve our predictions. Learn how we make our sentiment analysis more accurate.
singapore-resale-price
We use machine learning and data analysis to predict resale prices of Singapore flats. Our documentation covers data preprocessing, feature engineering, regression, and model selection. Discover how we improved predictions to optimize solutions.
youtube_data_harvesting
This project enables users to fetch data from YouTube by utilizing the YouTube Data API key. The retrieved data is then stored in a MySQL database. Subsequently, the stored data is analyzed and presented in a Streamlit web application using Pandas DataFrame.
Gokulakkrizhna's Repositories
Gokulakkrizhna/Airbnb_analysis
This project helps user to perform trend analysis, pattern recognition, and deriving data insights through exploratory data analysis (EDA) for the Airbnb data. Created an interactive Powerbi dashboard to analyze Airbnb data.
Gokulakkrizhna/industrial-copper-modelling
We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.
Gokulakkrizhna/PhonePe-Pulse
This project facilitates users to retrieve PhonePe transaction and user data, store it in a MySQL database. Subsequently, the stored data is visualized in a Streamlit web application using Plotly and Pandas DataFrame.
Gokulakkrizhna/sentiment_analysis
We use machine learning models to analyze people's opinions about GUVI from Twitter. Our document explains how we clean and prepare the data, create useful features, choose the best models, and improve our predictions. Learn how we make our sentiment analysis more accurate.
Gokulakkrizhna/singapore-resale-price
We use machine learning and data analysis to predict resale prices of Singapore flats. Our documentation covers data preprocessing, feature engineering, regression, and model selection. Discover how we improved predictions to optimize solutions.
Gokulakkrizhna/youtube_data_harvesting
This project enables users to fetch data from YouTube by utilizing the YouTube Data API key. The retrieved data is then stored in a MySQL database. Subsequently, the stored data is analyzed and presented in a Streamlit web application using Pandas DataFrame.