8000 harshdarji23 (Harsh Darji) · GitHub
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content
View harshdarji23's full-sized avatar
🎯
Focusing
🎯
Focusing
34 followers · 28 following

Achievements

Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Arctic Code Vault Contributor

Block or report harshdarji23

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Disaster-Response-WebApplication Disaster-Response-WebApplication Public

    Built a disaster response Web Application that takes input messages during calamity and direct to a particular alleviation organization that can give speedy help

    Jupyter Notebook 1 4

  2. Text-Summarization-An-Extractive-Method-NLP Text-Summarization-An-Extractive-Method-NLP Public

    Utilizing NLTK package and techniques like Tokenization, Stemming, Lemmatization, Computing Similarity and Using Page-Rank Algorithm to summarize a 1-page paragraph in 10 sentences

    Jupyter Notebook 7 3

  3. Arvato-Identifying-the-potential-customers Arvato-Identifying-the-potential-customers Public

    Identify potential customers among the crowd to reduce marketing spend using techniques like PCA, Segmentation (K-Means) and Classification (Random Forest, Gradient Boosting, AdaBoost Classifer, Li…

    Jupyter Notebook 2

  4. Sms-spam-detector Sms-spam-detector Public

    Build the SMS spam detector using PySpark and Logistic Regression and NLP techniques like Tokenization, CountVectorizer, Tfidf

    Jupyter Notebook 1 1

  5. Wage-Analysis Wage-Analysis Public

    Utilized Random Forest Classifier to identify features (education, health, age, sex, race.. that will lead to high wages. Utilized techniques like Feature Engineering (StringIndexing, One-Hot Encod…

    Jupyter Notebook 2

  6. YaayBnb YaayBnb Public

    Jupyter Notebook

0