Adris Misra - AI & ML Public Projects

📁 Portfolio for project details: View Portfolio

---

📘 Course Projects

---

🛫 Twitter Sentiment Analysis for Airline Services

Date: April 2021
Course: Introduction to Natural Language Processing
Objective:
To identify the sentiment from tweets to understand airline customer satisfaction.

Skills & Tools Covered:

• Working with text
• Vectorization (CountVectorizer & TF-IDF Vectorizer)
• Sentiment analysis
• Parameter tuning
• Confusion matrix-based model evaluation

---

🌱 Image Classification using CNNs

Date: March 2021
Course: Introduction to Computer Vision
Objective:
To identify plant seedlings from 12 different species using a convolutional neural network.

Skills & Tools Covered:

• Image preprocessing
• Computer Vision
• Keras
• Convolutional Neural Networks (CNNs)

---

🏦 Bank Customer Churn Prediction

Date: February 2021
Course: Introduction to Neural Networks
Objective:
To help the operations team identify customers likely to churn by building an artificial neural network from scratch.

Skills & Tools Covered:

• TensorFlow
• Keras
• Artificial Neural Networks (ANN)
• Google Colab

---

💳 AllLife Credit Card Customer Segmentation

Date: January 2021
Course: Unsupervised Learning
Objective:
To identify customer segments based on spending patterns and interactions with the bank.

Skills & Tools Covered:

• Exploratory Data Analysis (EDA)
• Visualization
• KMeans Clustering

---

🏗️ Concrete Strength Prediction Improvement

Date: December 2020
Course: Feature Selection, Model Selection and Tuning
Objective:
To predict concrete strength through feature engineering and model tuning.

Skills & Tools Covered:

• Cross-validation
• Feature engineering
• Model tuning
• Regression techniques

---

💰 Term Deposit Subscription Prediction

Date: October 2020
Course: Ensemble Techniques
Objective:
To help the marketing team identify potential customers likely to subscribe to a term deposit.

Skills & Tools Covered:

• Exploratory Data Analysis (EDA)
• Supervised learning
• Decision Trees
• Data visualization

---

🏦 Loans Campaign Target Prediction

Date: October 2020
Course: Supervised Learning
Objective:
To build a classification model identifying customers likely to buy a loan.

Skills & Tools Covered:

• Logistic Regression
• Classification
• Exploratory Data Analysis (EDA)

---

🎬 MovieLens Data Exploratory Data Analysis

Date: September 2020
Course: Fundamentals of AIML
Objective:
To explore movie viewing trends and feature importance using EDA on the MovieLens dataset.

Skills & Tools Covered:

• Pandas
• NumPy
• EDA
• Data visualization