starktynt Goto Github PK

ai_tower_of_hanoi

Smart Solution(AI) , Based on Knowledge base for Tower of Hanoi , supervised.

amazon_scrapping

Build for a scarper with Beautifulsoup library for extraction on amazon.in

customer_segmentation_ml

In this Data Science R Project series, we will perform one of the most essential applications of machine learning – Customer Segmentation. In this project, we will implement customer segmentation in R. Whenever you need to find your best customer, customer segmentation is the ideal methodology. In this machine learning project, DataFlair will provide you the background of customer segmentation. Then we will explore the data upon which we will be building our segmentation model. Also, in this data science project, we will see the descriptive analysis of our data and then implement several versions of the K-means algorithm.

data-email-scraping-for-10-results-on-google-search-for-keyworrd

Scrap emails from webpages ,deep search within webpage upto level 5 . fully autonomous , add source.xlsx and you will get the extraction.xlsx , made in python , using urllib and bs4 combination .

dbn-and-fuzzy-logic-sentiment-analysis

DeepBeliefNetwork and Fuzzy logic for Sentiment analysis on Big data

diffusiondb

A large-scale text-to-image prompt gallery dataset based on Stable Diffusion

exercise

ml

ml

naive_bayes_knn

Text Classification or Prediction and text segmentation Models

nn____

nn_nltk-chatbot

Chatbot based on targeted information , This here has information regarding , chatbots , Humans ,Earth & Sun ,ZIP it and run/ Ask any question

qanda

setiment-analysis-and-pca-

I have used bert model with PCA dimensionality reduction , and some nltk toolkits for sentiment analysis prediction model

starktynt

Config files for my GitHub profile.

text-analysis-and-nltk-tools

nltk tools and models , such as unigram , bigram etc and wordcloud , and Text analysis , TFIDF , Machine learning models and onto--the--way->--updating.

visualization-using-d3.js