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Jitendra-Dash/README.md

Hello and Welcome to My Github Repo

  • 👋 Hi, My name @Jitendra-Dash , I am a Data Scientist / NLP engineer!
  • 👀 Interested in machine learning and data science stuff
  • 📫 How to reach me you can email at jdash862@gmail.com

My skills

  • Natural language processing
  • Vectorization - TFIDF ,Count vectorizer , word2vec etc
  • Data cleaning and preprocessing
  • Sentiment classification , sentiment extraction, NER , Question-answering
  • Machine learning
  • KNN
  • Niave Bayes
  • Logistic regression
  • Random Forest
  • GBDT
  • Decision Tree
  • Linear Regression
  • Deep learning
  • MLP
  • RNN
  • CNN
  • Encoder Decider
  • Attention
  • Bert

  • Exploratory Data Analysis

  • Model Deployment :- Flask and FastAPI

Projects That I have done :-

1. Network Intrusion Detection System

A detailed Explaination about this Case Study (A medium Blog on analytics vidhya Page)

The intrusion detector learning task is to build a predictive model (i.e. a classifier) capable of distinguishing between bad connections, called intrusions or attacks, and good normal connections.
!image

This is an end to end Case study , where you will find

  • A detailed Exploratory Data Analysis
  • Machine learning Model like (Naive Bayes , Logistic Regression , Randomforest , Decision Tree ,Xgboost)
  • Feature engineering and many more things

2 . Tweet Sentiment Extraction

A detailed Explaination about this Case Study (A medium Blog on analytics vidhya Page)
This case study is about capturing the sentiment or meaning behind a tweet .
With all of the tweets circulating every second it is hard to tell whether the sentiment behind a specific tweet will impact a company, or a person’s, brand for being viral (positive), or devastate profit because it strikes a negative tone. Capturing sentiment in language is important in these times where decisions and reactions are created and updated in seconds. But, which words actually lead to the sentiment description.
!image

In This Case Study , i have done

  • A detailed EDA
  • Deep Learning Algorithm Like : LSTM , Attention ,BERT
  • Post Analysis of the Result (here we will see where our prediction making mistake or where it giving us great prediction)

3 . sentiment analysis | deploy using fast API

A detailed Explaination about this project (in my youtube channel)

image

  • get the data
  • do some stats
  • clean and preprocess
  • convert to vectors
  • build model
  • save model
  • deploy using fastAPI

Popular repositories Loading

  1. Network-Intrusion-detection-system Network-Intrusion-detection-system Public

    The intrusion detector learning task is to build a predictive model (i.e. a classifier) capable of distinguishing between bad connections, called intrusions or attacks, and good normal connections.

    Jupyter Notebook 4 1

  2. Basic-of-Neural-Network Basic-of-Neural-Network Public

    A little step towards Neural-Network (Deep Learning)

    Jupyter Notebook

  3. Python-For-Data-Analysis Python-For-Data-Analysis Public

    data analysis

  4. Extracting-Phrase-From-Sentence Extracting-Phrase-From-Sentence Public

    With all of the tweets circulating every second it is hard to tell whether the sentiment behind a specific tweet will impact a company, or a person’s, brand for being viral (positive), or devastate…

    Jupyter Notebook

  5. Real-or-Not-Real-or-Not-NLP-with-Disaster-Tweets Real-or-Not-Real-or-Not-NLP-with-Disaster-Tweets Public

    This is a NLP project. where i focused more data analysis.

  6. Python-For-Data-Science Python-For-Data-Science Public

    In this Repo i will post code which are require for Data science and machine learning

    Jupyter Notebook