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wajahat1064/README.md

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  1. Kaggle-Challenge-Santander-Bank-Customer-Transaction-Problem- Kaggle-Challenge-Santander-Bank-Customer-Transaction-Problem- Public

    Predicted the bank customers’ next transactions using LightGBM with an AUC score of 0.90035 ranking the submission in Top 4% in the Kaggle competition

    Jupyter Notebook 5 1

  2. InsuranceCompany_ClassImbalance InsuranceCompany_ClassImbalance Public

    Predicted the likelihood that each insurance policyholder will make a service payment call | Comparative analysis of multiple ML models

    Jupyter Notebook

  3. Pattern-Recognition-and-Data-Analysis-for-Behavioural-Economics Pattern-Recognition-and-Data-Analysis-for-Behavioural-Economics Public template

    Identified patterns and provided insights using EDA on user’s previous data on the product page of an e-commerce website to provide targeted incentives for a higher return rate

    Jupyter Notebook 9 5

  4. AudioCompression_using_AutoEncoder_Unsupervised-Neural-Network AudioCompression_using_AutoEncoder_Unsupervised-Neural-Network Public

    Outperformed conventional methods using AutoEncoder (unsupervised neural network) to compress speech and music up to 23x (compared to other open-source projects which only compress up to 10x)

    Jupyter Notebook 7 2

  5. Sentimental-analysis-of-tweets Sentimental-analysis-of-tweets Public

    Predicting Positive, Negative or Neutral tweet using Naive Bayes

    Python 8 2

  6. K-means-Hadoop-Implementation-on-Multi-Node-Cluster K-means-Hadoop-Implementation-on-Multi-Node-Cluster Public

    Implemented the k-means clustering algorithm to classify water quality using data from the United States Geological Survey Salt Creek database on a 4-node Hadoop cluster

    Python 6 1