In our AI and Machine Learning Bootcamp, we offer six immersive real-world assignments, providing you with hands-on experience in solving practical problems across various industries:
Real Estate Analysis using NumPy: Dive into the world of real estate data, analyse housing prices, and calculate essential statistical metrics like mean, median, and standard deviation.
Python Program for Banking and Finance: Develop a Python program tailored for a financial company, enabling you to read stock market data from CSV files and perform data analysis, generating valuable insights for decision-making.
Hypothesis Testing in Healthcare: Work with a healthcare dataset to conduct hypothesis testing, evaluating the effectiveness of two different drugs for treating a specific medical condition, making data-driven medical decisions.
Telecom Customer Churn Classification Model: For a telecom company, build a powerful classification model that predicts customer churn, using a provided dataset that includes customer information such as demographics, usage patterns, and customer satisfaction scores.
Sentiment Analysis Model for Social Media: Develop a sentiment analysis model for ‘SocialBuzz’, to analyze customer opinions. Use a dataset consisting of customer reviews, tweets, or other social media posts. Preprocess the text data, apply techniques such as tokenization and text normalization, and train a sentiment analysis model using algorithms like Naive Bayes or recurrent neural networks (RNNs).
Collaborative Filtering Recommendation System for E-Commerce: Build a recommendation system for ‘ShopGenius’, an e-commerce platform, using collaborative filtering. Utilize a dataset that contains customer purchase histories, item ratings, and user preferences.
These real-world assignments will enrich your learning journey, allowing you to apply theoretical concepts to practical scenarios and build a standout portfolio that showcases your prowess in AI and Machine Learning.