Projects in Awesome Lists by venkat-a
A curated list of projects in awesome lists by venkat-a .
https://github.com/venkat-a/data-analysis-and-visualization-dashboard
Development and deployment of a Plotly Dash dashboard on Google Cloud Platform (GCP) and Heroku
dashboard data-mining deployment descriptive-statistics gcp heroku-deployment modularization pipenv plotly-dash statical-analysis visualization
Last synced: 07 Jun 2026
https://github.com/venkat-a/capstone-project-ibm
Analyzing housing complaints in New-York-City and develop a forecasting model
data-engineering descriptive-statistics geographical-analysis model-evaluation-and-tuning numpy-arrays pandas-dataframe statical-analysis time-series-forecasting typecasting
Last synced: 15 Jun 2026
https://github.com/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.
casual-inference descriptive-statistics exploratory-data-analysis logistic-regression managerial-economics metric-analysis model-evaluation-and-tuning rprogramming statistical-analysis
Last synced: 19 Mar 2026
https://github.com/venkat-a/exploratory-data-analysis-eda-using-pyspark
Leverage the power of Apache Spark for large-scale data processing and analysis
dataframes descriptive-statistics hadoop-hdfs matplotlib plotly-express pyspark-python seaborn sql statistical-analysis visualization
Last synced: 12 Jun 2026
https://github.com/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.
exploratory-data-analysis feature-engineering feature-extraction hypothesis-generation matplotlib model-evaluation-and-tuning numpy-arrays pandas-dataframe seaborn tableau visualization
Last synced: 19 Jun 2026
https://github.com/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
arima bollinger-bands keras lstm minmaxscaler prophet-facebook sarimax-model tensorflow timeseries-forecasting
Last synced: 11 Feb 2026
https://github.com/venkat-a/sourcing-talented-individuals
Developing a machine learning powered pipeline that could spot talented individuals, and rank them based on their fitness.
Last synced: 07 Jul 2025
https://github.com/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.
descriptive-statistics matplotlib numpy pandas seaborn statistical-analysis visualization
Last synced: 07 May 2026
https://github.com/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.
data-engineering data-visualization statistics tableau
Last synced: 10 Feb 2026
https://github.com/venkat-a/term-deposit-marketing-prediction
client subsection to a term deposit
data-processing feature-engineering hyperparameter-tuning-in-pipeline lime machine-learning matplotlib model-evaluation-and-tuning one-hot-encoding probability-threshold-optimization seaborn shap sklearn statical-analysis visualization
Last synced: 17 Apr 2026
https://github.com/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
aws-ec2 aws-lambda aws-s3 aws-sagemaker earlystopping efficientnet imagedatagenerator pillow reducelronplateau
Last synced: 18 Apr 2026
https://github.com/venkat-a/happiness-prediction
Prediction of happy Customers based on Happiness Survey Data
data-exploration-and-preprocessing hyperparameter-tuning machine-learning matplotlib metrics model-evaluation-and-tuning seaborn sklearn visualization
Last synced: 19 Apr 2026
https://github.com/venkat-a/potential_ranked_sourcing_individuals
Generate insights and rankings for potential candidates
automodel autotokenizer aws-ec2 aws-s3 aws-sagemaker bertmodel berttokenizer lightgbm torch transformers
Last synced: 19 Jun 2026
https://github.com/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.
categorical-encoding deep-neural-networks embedding-vectors lstm-neural-networks model-evaluation-and-tuning nltk-tokenizer numpy-arrays pandas-dataframe pytorch-nlp rnn-encoder-decoder tokenization vocabulary-builder
Last synced: 12 Jun 2026