Pinned Repositories
UCI-Scraping
UCI Machine Learning Repository was scrapped using scrapy and links of all the datasets on which atleast a single IEEE research paper was published was added to the bucket
data
FineTune
Flipkart-mobile-price-
Data of all the mobile phones available on Flipkart was scrapped including phone name, marked price, selling price using BeautifulSoup and visualized using matplotlb.
healthcare
News-Classifier
A paragraph of news was provided and was predicted into 5 genres using various techniques of Natural Language Processing including tokenization, vectorization, stop word, etc. to achieve the accuracy of 97.99% using Linear Support Vector Classifier
Secure-Email-System
This was made in core python which allowed the user to enter their credentials of the email and then log into their account also messaged the registered mobile number when the wrong password was typed and verified the OTP sent on the registered mobile number to change the password using Twilio apk.
Skin_Segmentation
Its main aim was to predict the presence of human in an image with least computational cost. From the blue, red and green values of the pixel of an image presence of skin in that part of the image was predicted using Random Forest classifier with 99.96% accuracy on ten k-fold cross validations.
Stock_Prediction
Bombay Stock exchange opening, closing, low and high vales was predicted using Recurrent Neural Networks with r2score of 92%.
temp
nim17's Repositories
nim17/News-Classifier
A paragraph of news was provided and was predicted into 5 genres using various techniques of Natural Language Processing including tokenization, vectorization, stop word, etc. to achieve the accuracy of 97.99% using Linear Support Vector Classifier
nim17/UCI-Scraping
UCI Machine Learning Repository was scrapped using scrapy and links of all the datasets on which atleast a single IEEE research paper was published was added to the bucket
nim17/data
nim17/healthcare
nim17/FineTune
nim17/temp
nim17/Flipkart-mobile-price-
Data of all the mobile phones available on Flipkart was scrapped including phone name, marked price, selling price using BeautifulSoup and visualized using matplotlb.
nim17/Secure-Email-System
This was made in core python which allowed the user to enter their credentials of the email and then log into their account also messaged the registered mobile number when the wrong password was typed and verified the OTP sent on the registered mobile number to change the password using Twilio apk.
nim17/Used-Car-price-prediction
Price of the used cars was predicted using the company name, mileage, average, km_driven, seat capacity, price of new car with an r2score of 85% using Random Forest regressor.
nim17/Skin_Segmentation
Its main aim was to predict the presence of human in an image with least computational cost. From the blue, red and green values of the pixel of an image presence of skin in that part of the image was predicted using Random Forest classifier with 99.96% accuracy on ten k-fold cross validations.
nim17/Stock_Prediction
Bombay Stock exchange opening, closing, low and high vales was predicted using Recurrent Neural Networks with r2score of 92%.