Individual Income of the famliy

Recommenation model for Amazon

Worked on Retail analysis of business

Reduced the time that car spends on the test bench.Performed EDA, check null values.Applied label encoder, Performed dimensionality reduction.Trained using XGBoost .

Checked the movie having max ratings.Used Singular Value Decomposition Algorithm.Divided the data into training and test data.

Predicted the accuracy using random forest classi er.Checked the accuracy using random forest with cross validation.Used sklearn for accuracy score and classi cation report.

Predicted the sentiments based upon data reviews.Performed EDA, took TF-IDF values.Visualization using Seaborn.Use Tree-based classi ers like Random Forest.

Categorized the data in 0 and 1.Used tf.keras.models and then add dense layers.Used Activation Function.