Predict IPL Outcomes with 78% Accuracy Using Machine Learning

Predict IPL Outcomes with 78% Accuracy Using Machine LearningPredict IPL Outcomes with 78% Accuracy Using Machine Learning

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Dheepsaran Vivekananth

• Jun 5

IPL Match Outcome Prediction using Machine Learning

Developed a machine learning solution to predict IPL match outcomes using 15+ years of historical cricket data. Built a complete analytics pipeline involving data cleaning, feature engineering, model training, evaluation, and prediction generation using Python and Scikit-learn.

The project analyzed factors such as team performance, venue conditions, toss decisions, and historical win rates to identify patterns influencing match results. Multiple machine learning models were evaluated, achieving up to 78% prediction accuracy and providing data-driven insights into the key factors affecting match outcomes.

Tools: Python, Pandas, NumPy, Scikit-learn, Machine Learning, Data Analysis, Feature Engineering

Data Science scikit-learn Data Analysis pandas Python

Oluwabusola Oyenuga

• Jun 5

A store made $2.3M in revenue and was still losing money. Here’s where it was going wrong.

I built a Sales & Profit Analysis dashboard covering 4 years of data

And the numbers told a story revenue alone would never show.

The findings:

📍Furniture had $740K in sales but only $20K in profit

📍Tables and Bookcases had negative margins which means selling more meant losing more

📍The South region was bleeding compared to every other region

📍Technology was quietly carrying the entire business

The fix wasn’t complicated once the data was clear:

✅Reduce Furniture discounts and renegotiate supplier costs

✅Invest more in Technology since it’s already winning

✅Study the West region and replicate it in the South

That’s what a good dashboard does.

Not just show numbers

It shows you exactly where to act.

This dashboard was built with Power BI.

The hardest part was knowing which questions to ask before touching the tool.

What’s one business decision in your industry that data could make obvious but most people still make on gut feeling?

Data Analysis Microsoft Power BI

Oluwabusola Oyenuga

• 2d

Thank you

juan carlos vasquez

• Jun 4

Yultic was created to bring artificial intelligence to the businesses that need it most: small and medium-sized enterprises. Not as a distant concept, but as a practical tool tailored to their specific needs and designed to deliver value from day one.