shaestha
I'm into data where I seek data extraction, manipulation, visualization lately used d3.js and predictions adding with machine learning and deep learning.
India
Pinned Repositories
Data-Visualization-using-d3
A real time data visualization task completed by the students of Prof. R. Raja Subramanian during the course Data Visualization for Analytics
github-slideshow
A robot powered training repository :robot:
KNN-Classifier-for-Bowler-classification
KNN classifier machine Learning algorithms based on Supervised Learning technique, assumes the similarity between the new data point and available data point, and put the new data point into the category that is most similar to the available categories.
machine-learning
notebooks with example for machine learning examples
Parallel-Coordinate-D3.Js-chart-
Parallel coordinate chart is the d3.js visualized chart where one axis must be created per variable. The code beside create one scale per column in the .csv input file and store it in a y object.
shaestha
Config files for my GitHub profile.
Stock-MArket-Forecasting
Titanic-survival-prediction
Predicting the survival rate of people as per the extracted dataset from kaggle repository and implementing further data processing.
Web-scrapping-
scrapping the swiggy website extracting the dish name and their prices at restaurant, converting the raw data to csv file and proceeding with the pre-processing and visualization finally inferring the optimal results of all.
shaestha's Repositories
shaestha/shaestha
Config files for my GitHub profile.
shaestha/github-slideshow
A robot powered training repository :robot:
shaestha/KNN-Classifier-for-Bowler-classification
KNN classifier machine Learning algorithms based on Supervised Learning technique, assumes the similarity between the new data point and available data point, and put the new data point into the category that is most similar to the available categories.
shaestha/machine-learning
notebooks with example for machine learning examples
shaestha/Parallel-Coordinate-D3.Js-chart-
Parallel coordinate chart is the d3.js visualized chart where one axis must be created per variable. The code beside create one scale per column in the .csv input file and store it in a y object.
shaestha/Stock-MArket-Forecasting
shaestha/Titanic-survival-prediction
Predicting the survival rate of people as per the extracted dataset from kaggle repository and implementing further data processing.
shaestha/Web-scrapping-
scrapping the swiggy website extracting the dish name and their prices at restaurant, converting the raw data to csv file and proceeding with the pre-processing and visualization finally inferring the optimal results of all.