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iiitb-projects

Contails the following projects

  • Investment firm case study (EDA)
  • Gilly Auto Regression analysis (Linear Regression, XGBoost)
  • Telecom Churn Case Study (ML algorithms, RFE, model selection, etc.)
  • Gramener Case Study
  • HMM_based_POS_tagging_Viterbi: Build your own HMM-based POS tagger and implement the Viterbi algorithm using the Penn Treebank training corpus. Modify the Viterbi algorithm to solve the problem of unknown words using at least two techniques
  • Resturant finder chatbot using RASA framework. Tensorflow as backend.
  • Using CNN to classify the type of flower
  • Detect anomalies in chest X-Ray scans using RSNet