Artificial Intelligence and Machine Learning Projects

Projects completed as a part of Post Graduate Program in Artificial Intelligence and Machine Learning

1. MovieLens Data Exploratory Data Analysis

MovieLens-EDA

Perform exploratory data analysis to explore the features and their importance. Also, explore trends in movie watching by the masses across the years.

Skills and Tools - EDA, Data Visualization, Pandas, NumPy, Matplotlib, Seaborn

2. Loans Campaign Target Prediction

PersonalLoan-Modelling

To help in designing the loan campaign for converting the existing customers to liability customers by building a classification model that identifies the existing customers that are more likely to buy a loan.

Skills and Tools - EDA, Logistic Regression, Classification, Hyperparameter Tuning

3. Term Deposit Subscription Prediction

TermDepositSubscription-Prediction

To help the marketing team in identifying the potential customers for subscribing to a term deposit.

Skills and Tools - EDA, Data Visualization, Supervised Learning, Decision Trees, Random Forest, Bagging, Boosting, SMOTE

4. Concrete Strength Prediction Improvement

ConcreteStrength-Prediction

To analyze the various features at hand and predict the concrete strength. Implement the concepts of feature engineering and model tuning to increase the performance of the model.

Skills and Tools - EDA, Data Visualization, Cross Validation, Feature Selection, PCA, Feature Engineering, Regression techniques, Support Vector Machines, Bagging, Boosting, Model Tuning, Bootstrap Sampling

5. Credit Card Customer Segmentation

CreditCard-Customer-Segmentation

To identify different segments in the existing customers based on their spending patterns as well as past interaction with the bank.

Skills and Tools - EDA, Data Visualization, Silhouette Analysis, KMeans Clustering

6. Bank Customer Churn Prediction

BankChurn-Prediction

To help the operations team identify the customers that are more likely to churn by building an artificial Neural Network from scratch.

Skills and Tools - EDA, Data Visualization, Pandas, Tensorflow, Keras, ANN, Google colab

7. Computer Vision

PlantSeedlings-Image-Classification

To identify the plant seedlings species from 12 different species using a convolutional neural network

Skills and Tools - EDA, Data Visualization, CNN, Convolution, Pooling, Padding, Image Augmentation, Keras

8. Twitter Sentiment Analysis for Airline Services

USAirline-Twitter-SentimentAnalysis

To identify the sentiment from a tweet to understand an airlines' customer satisfaction

Skills and Tools - EDA, Data Visualization, BeautifulSoup, POS Tagging, Tokenization, Bag of Words, TF-IDF, Vectorization, Naive- Bayes, Random Forest, NN, SMOTE