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Self Employed • 1d
I’ve been strengthening my data analysis and visualization fundamentals by building multiple end-to-end analytical projects using Python, Pandas, Matplotlib, and Seaborn. Projects worked on: Video Game Market Analysis Football Performance Analysis (Liverpool FC) Racing & Motorsports Analytics Macroeconomic Analysis Football Squad & Transfer Market Analysis Skills applied across projects: • Data cleaning and transformation • Aggregation, grouping, and pivot tables • Exploratory Data Analysis (EDA) • Visualizatiohttps://medial.app/n design focused on insight, not decoration Repositories (complete code & analysis): 🔗 https://github.com/tiwaribodhi/Employment-Unemployment-Visualize-using-Seaborn 🔗 https://github.com/tiwaribodhi/Data-analysis-of-Liverpool-Match-with-matplotlib 🔗 https://github.com/tiwaribodhi/vgsales-analysis-with-matplotlib 🔗 https://github.com/tiwaribodhi/racing-data-analysis-using-pandas #DataAnalytics #DataScience #Python #Pandas #Matplotlib #Seaborn #EDA #DataVisualization #Analytics #AppliedAnalytics #SportsAnalytics #GameAnalytics #LearningByBuilding #Projects




Turing Data into str... • 5m
🌦 Weather Prediction Using Machine Learning 📊 I’m excited to share one of my recent projects — a Weather Prediction Model built using machine learning! 🚀 📌 Project Overview: The model was trained to predict temperature based on historical weath
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Machine Learning Ent... • 1y
The Importance of Analyzing Data 📊 Analyzing data is crucial for gaining insights and taking corrective actions. Through Exploratory Data Analysis (EDA), we understand data better and make informed decisions. Machine learning predicts outcomes, aid
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