Here are some of my sample project codes:

  • NLP, ML, DL codes

      • Apps (link)

      • Natural Language Processing (link)

      • Deep Learning (link)

      • Machine Learning (link)

      • Regression Problems (link)

      • Image Processing (link)

  • Text Classification using Transfer Learning

      • Text Classification with Hugging Face Transformers in ktrain (link)

  • Binary Classification of Sonar Returns.

      • Multilayer Perceptron model using Keras (link)

  • Text classifier for sentiments (link)

      • LSTM

      • Word Embeddings

  • Regression of Boston House Prices.

      • Multilayer Perceptron model with Keras for a regression problem. (link)

      • ML Model Comparison (link)

  • Unsupervised Learning

      • Topic Modeling - LDA, LSI (link)

      • Clustering - KMeans (link)

  • Multiclass Classification Of Flower Species

      • Multiclass classification data for modeling with neural networks.

      • Multilayer Perceptron model using Keras (link)

  • Diabetes Prediction: Based on diagnostic measurements predict whether a patient has diabetes

      • Multilayer Perceptron model using Keras (link)

  • Sentiment Analysis (link)

      • Multilayer perceptron model for the IMDB problem.

      • Word embedding using Keras for natural language problems.

  • Stack Exchange Question Classifier (link)

      • Naive bayes and tf-idf vectorization

  • Document Classifier (link)

      • Naive bayes and n-grams

  • Loan Prediction (link)

      • Linear Regression, Random Forest, Decision Tree

  • Predict housing prices (link)

      • Linear Regression, Random Forest , Nueral Network

  • Predict the species of an iris using the measurements (link)

      • K Nearest Neighbors, Logistic Regression, Support Vector Machine, Random Forest, Decision Tree, Nueral Network etc

  • Random Sentence Generator (link)

      • Natural language processing and generation based on probability of occurrence

  • Hash Tag Splitter (link)

  • Twitter Data Analytics (link)

      • Analyze and Visualize Twitter Data

  • Sales Store Calculation (link)

      • Using Hadoop Mapreduce.

  • Recommender System (link)

  • Algorithms Analysis and Data Structures in Python

      • To understand how to benchmark simple Python programs : Algorithm Analysis,

      • Implemented the ADTs stack, queue, and deque using Python lists : Stack, Queue, Deque

      • Implemented sequential search and binary search and hashing, bubble sort, selection sort, insertion sort, merge sort, quick sort etc : Searching and Sorting

      • Implemented binary tree, tree traversals, binary heap : Trees

      • Graph Algorithms : Graphs

      • General Problems : Codes