The Codeway internship was a transformative experience, offering stimulating challenges that fueled my growth. Each task pushed me to expand my skills and problem-solving abilities, providing invaluable hands-on learning. I'm grateful for the opportunity and confident that the knowledge gained will be instrumental in my future pursuits.
Create a machine learning model that can predict the genre of a movie based on its plot summary or other textual information. Youcan use techniques like TF-IDF or word embeddings with classifiers such as Naive Bayes, Logistic Regression, or Support Vector Machines. DATASET - https://www.kaggle.com/datasets/hijest/genre-classification-dataset-imdb
Build a model to detect fraudulent credit card transactions. Use a dataset containing information about credit card transactions, and experiment with algorithms like Logistic Regression, Decision Trees, or Random Forests to classify transactions as fraudulent or legitimate. DATSET - https://www.kaggle.com/datasets/kartik2112/fraud-detection
Develop a model to predict customer churn for a subscription- based service or business. Use historical customer data, including features like usage behavior and customer demographics, and try algorithms like Logistic Regression Gradient Boosting to predict churn. DATASET - https://www.kaggle.com/datasets/shantanudhakadd/bank-customer-churn-prediction