Intermediate Data Analyst Research resources

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Intermediate Data Analyst Research resources

By Aakash Verma
Sentiment Analysis of IMDb Reviews using Decision Tree and Multinomial Naive Bayes Models. image

In this project, we delve into the realm of sentiment analysis using machine learning techniques on the IMDb dataset. Our primary goal is to predict sentiment polarity—positive or negative—of movie reviews, employing...

By Aakash Verma
Predicting Insurance Costs with Machine Learning models. image

In this project, we embark on a data-driven exploration into the world of insurance cost prediction using advanced machine learning techniques. Our primary objective is to harness the power of three distinct regression...

By Aakash Verma
Predicting Casualties in Road Accidents: A Comparative Analysis using ML Models. image

In this project, we delve into the realm of road safety analytics, aiming to predict the number of casualties in road accidents using advanced machine learning techniques. Our primary objective is to harness the power...

By Aakash Verma
Predicting Car Recommendations from Reviews: A Comparative Analysis of ML models and NLP. image

In this project, we delve into the world of sentiment analysis and recommendation prediction by utilizing advanced machine learning techniques. Our primary objective is to predict car recommendations based on customer...

By Aakash Verma
Predicting Health Condition Labels using Machine Learning (Stress Detection). image

In this project, we embark on a data-driven exploration into the realm of healthcare analytics, aiming to predict health condition labels using advanced machine learning methodologies. Our primary objective is to...

By Aakash Verma
Predicting Agent Bonus in Insurance: A Comparative Analysis of Machine Learning Models image

In this project, we embark on a journey into the realm of predictive analytics within the insurance sector, focusing on the prediction of Agent Bonus using advanced machine learning techniques. Our primary objective is...

By Aakash Verma
Predicting Consumer Purchases using Machine Learning image

In this project, Our focus is on understanding the underlying factors that influence a consumer's choice to make a purchase, and we explore the predictive accuracy of three prominent machine learning models: Decision...

By Statistics and Probability
Solved Problems: Control Charts, Sign Test, Regression, Hypothesis and Descriptive image

The following documents contain the graduate and postgraduate level problems related to Descriptive Statistics, Hypothesis Testing and Confidence Intervals, Regression Analysis and Inference in Regression and...