GitHub / venkat-a 1 Repository
venkat-a/Stocks-Price-Analysis-and-Recommendation
Analyzing and predicting the stock prices,multiple machine learning models, including LSTM (Long Short-Term Memory), Prophet, and others
Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
venkat-a/Document_digitization_for_blind
Detects page flips from low-resolution camera preview and takes a high-resolution picture of the document, recognizing its corners and crops it accordingly
Language: Jupyter Notebook - Size: 22.3 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
venkat-a/Potential_Ranked_Sourcing_Individuals
Generate insights and rankings for potential candidates
Language: Jupyter Notebook - Size: 3.44 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/Data-Analysis-and-Visualization-Dashboard
Development and deployment of a Plotly Dash dashboard on Google Cloud Platform (GCP) and Heroku
Language: Python - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
venkat-a/Capstone-Project-IBM
Analyzing housing complaints in New-York-City and develop a forecasting model
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venkat-a/Exploratory-Data-Analysis-EDA-using-PySpark
Leverage the power of Apache Spark for large-scale data processing and analysis
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venkat-a/Unveiling-Patterns-in-Traffic-Crashes-A-Data-Driven-Approach-to-Safer-Roads
By integrating geographical data analysis and statistical modeling, CTCA aims to inform strategies for reducing crash rates and enhancing road safety. This initiative combines innovative data processing techniques with advanced analytics to offer actionable recommendations for policymakers, urban planners, and public safety organizations.
Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/Python-EDA-Exploratory-Data-Analysis-
This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.
Language: Jupyter Notebook - Size: 682 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/Term-Deposit-Marketing-Prediction
client subsection to a term deposit
Language: Jupyter Notebook - Size: 1.52 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/Text_Processing_RNN_LSTM
Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.
Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/Happiness-Prediction
Prediction of happy Customers based on Happiness Survey Data
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/GoodBelly-Marketing-Analytics-Project
Marketing strategies on the sales volume and average retail price (ARP) of Good Belly products. Using a dataset encompassing sales, promotions, and demographic information across multiple regions, this project employs causal analysis and multiple linear regression to provide insights into the effectiveness of marketing activities.
Size: 25.4 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkat-a/OlympianAnalytics
OlympianAnalytics uncovers Olympic trends, focusing on medal distribution by region, gender, and athlete attributes. It highlights dominance shifts and the role of inclusivity in sports, offering key insights through data visualization.
Size: 1.68 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0