Interactive wordcloud
Enabling interactive plotting of the visualizations from the SHAP project.
📊 📊 Cryptocurrencies Price Forecaster 🔥
Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.
Binance Marging Trading defined in easy functions
Pedestrian Dead Reckoning and Trajectory Anomaly Detection using IMU based IOT sensor. Sensor used is Oblu IoT (https://oblu.io)
My Assignment work on Data-Analysis, Data-Visualization, and Machine learning Algorithms.
A web app that helps you discover nearby places of interest, and also displays the latest coronavirus related tweets with the place's name in the tweets
Exploratory Analysis of diamonds, predictive price model developed, vendor analysis. I used Python, Excel, R, Tableau to demonstrate my diversity in technology. Python was used for ml, excel pivot tables to work toward choosing diamonds, R for graphs, and exploratory analysis, and Tableau to make a few graphs.
Auto ML application app with dash. Classification and Regression algorithms.
EDA and customer segmentation with RFM analysis on hacker earth dataset. https://www.hackerearth.com/challenge/hiring/LMG-analytics-data-science-hiring-challenge
This Project is a DataAnlysis of Hacker-rank Developers Survey 2018 using Data-analytics open source python libraries like Pandas, Numpy, Matplotlib etc and modules like plotly, missigno etc using Datasets Provided Hacker-rank themselves.
Stock price comparison (historical data) of Apple, Amazon and Google
Analyze how ratings for movies compare between the two movie rating platforms
360_days_of_code
An in-depth exploration of the Plotly package in R. Analyzes the World Happiness dataset in order to make various graphs using Plotly.
Data Visualization of COVID19 cases in India
Analysis and visualization of Montreal city crime data.
Analyzes 9,994 e-commerce transactions to uncover insights on sales trends, customer behavior, profitability, and logistics using EDA and visualization. Identifies top products, customer segments, and shipping efficiencies to optimize marketing, inventory, and operations, making it valuable for retail, finance, and logistics.
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