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  • šŸ‘‹ Hi, Iā€™m @sanjushasuresh
  • šŸ‘€ Iā€™m passionate and curious about Data Science, Machine learning and Artificial intelligence
  • šŸŒ± My skills include Python, R, Java, SQL, Spark, Hadoop and Tableau
  • šŸ’ž I'm looking to collaborate on all the above topics
  • šŸ“« How to reach me : [email protected]

Java Python R Matplotlib NumPy Pandas scikit-learn SciPy Microsoft Excel Microsoft PowerPoint Microsoft Word

GitHub Streak

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Sanjusha Suresh's Projects

pca-assignment-8 icon pca-assignment-8

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using PCA.

random-forests-assignment-15-q1 icon random-forests-assignment-15-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using random forests.

random-forests-assignment-15-q2 icon random-forests-assignment-15-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using random forests.

recommendation-system-assignment-10 icon recommendation-system-assignment-10

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using recommendation system.

simple-linear-regression-assignment-4-q1 icon simple-linear-regression-assignment-4-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using simple linear regression.

simple-linear-regression-assignment-4-q2 icon simple-linear-regression-assignment-4-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using simple linear regression.

stock-market-analysis-project icon stock-market-analysis-project

Aim: To predict the Reliance Industries Stock price for the next 30 days. Using the matplotlib and statsmodel the moving average, time series decomposition, ACF and PACF plots were plotted. Building the model using MAPE, Simple Exponential method, Holt method and Holt Winters method, and using Flask for deployment we get the forecasts.

store-sales-prediction-project icon store-sales-prediction-project

Aim: To predict the sales of different branches of a supermarket store for the next year. By using regression analysis, moving average method, correlation, and time series analysis, on past three years data the prediction was calculated successfully. With the result that the sales will increase.

support-vector-machines-assignment-17-q1 icon support-vector-machines-assignment-17-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using support vector machines.

support-vector-machines-assignment-17-q2 icon support-vector-machines-assignment-17-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using support vector machines.

text-mining-assignment-11-q1 icon text-mining-assignment-11-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using text mining.

text-mining-assignment-11-q2 icon text-mining-assignment-11-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using text mining.

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