Pinned Repositories
assignment1
assignment1.1
assignment2
Chartbusters-Prediction-Foretell-The-Popularity-Of-Songs
Chartbusters-Prediction-Foretell-The-Popularity-Of-Songs
CIFAR-10-classification-using-deeplearning-ANN-CNN-
CIFAR-10 is a dataset that consists of several images divided into the following 10 classes: Airplanes Cars Birds Cats Deer Dogs Frogs Horses Ships Trucks The dataset stands for the Canadian Institute For Advanced Research (CIFAR) CIFAR-10 is widely used for machine learning and computer vision applications. The dataset consists of 60,000 32x32 color images and 6,000 images of each class. Images have low resolution (32x32). Data Source: https://www.cs.toronto.edu/~kriz/cifar.html Fashion training set consists of 70,000 images divided into 60,000 training and 10,000 testing samples. Dataset sample consists of 28x28 grayscale image, associated with a label from 10 classes.
Data-Science-Work
Describe the work carried out by me while learning data science on different data sets
Fashion-Class-Classification--Using-CNN-Convolution-Nerual-Ntework-
nervecell.gif The Global fashion industry is valued at 3 Trillion Dollar & Accounts for 2% of World's GDP. Here we are going to use ML technique to classify the Fashion Class to build a virtual stylish assistant that looks at customer's social media images & classify what styles the customers are wearing, The virtual assistant can help retailer to find fashion trends & launch targeted fashion campaigns. Here we are going to use fashion MNIST data which contains images of bags, shoes, dresses, etc. & we are asking the deep network to classify the images into 10 classes.Here We want to build say app or model which can learn & say what kind of class this image belongs to whether it is bag, shorts, dress, hat. That is we want to build a deep learning model that can classify the images into different categories.Here we have gray-scale images & have to classify these gray-scale images into 10 class or 10 cathegories. The Prime example that we are going to build can be Amazon's Echo look style Assistant.
FIFA-New-Football-Team
Exploratory data analysis for finding the optimal options based on the given constraints and requirement
github-profile-analyzer
Student-Performance
Context This data set consists of the marks secured by the students in various subjects
shukal090's Repositories
shukal090/Fashion-Class-Classification--Using-CNN-Convolution-Nerual-Ntework-
nervecell.gif The Global fashion industry is valued at 3 Trillion Dollar & Accounts for 2% of World's GDP. Here we are going to use ML technique to classify the Fashion Class to build a virtual stylish assistant that looks at customer's social media images & classify what styles the customers are wearing, The virtual assistant can help retailer to find fashion trends & launch targeted fashion campaigns. Here we are going to use fashion MNIST data which contains images of bags, shoes, dresses, etc. & we are asking the deep network to classify the images into 10 classes.Here We want to build say app or model which can learn & say what kind of class this image belongs to whether it is bag, shorts, dress, hat. That is we want to build a deep learning model that can classify the images into different categories.Here we have gray-scale images & have to classify these gray-scale images into 10 class or 10 cathegories. The Prime example that we are going to build can be Amazon's Echo look style Assistant.
shukal090/github-profile-analyzer
shukal090/Student-Performance
Context This data set consists of the marks secured by the students in various subjects
shukal090/assignment1
shukal090/assignment1.1
shukal090/assignment2
shukal090/Chartbusters-Prediction-Foretell-The-Popularity-Of-Songs
Chartbusters-Prediction-Foretell-The-Popularity-Of-Songs
shukal090/CIFAR-10-classification-using-deeplearning-ANN-CNN-
CIFAR-10 is a dataset that consists of several images divided into the following 10 classes: Airplanes Cars Birds Cats Deer Dogs Frogs Horses Ships Trucks The dataset stands for the Canadian Institute For Advanced Research (CIFAR) CIFAR-10 is widely used for machine learning and computer vision applications. The dataset consists of 60,000 32x32 color images and 6,000 images of each class. Images have low resolution (32x32). Data Source: https://www.cs.toronto.edu/~kriz/cifar.html Fashion training set consists of 70,000 images divided into 60,000 training and 10,000 testing samples. Dataset sample consists of 28x28 grayscale image, associated with a label from 10 classes.
shukal090/Data-Science-Work
Describe the work carried out by me while learning data science on different data sets
shukal090/FIFA-New-Football-Team
Exploratory data analysis for finding the optimal options based on the given constraints and requirement
shukal090/Hacker-Rank-30-Day-code-change
shukal090/ImBD-dashboard
shukal090/Loan-predict
shukal090/Netflix-Stock-Price-prediction-using-RNN-and-LSTM
Data from yahoo.com/finance Netflix stock price 12/16/2015 ~ 12/16/2019 daily price and volume. There are 7 columns; Date, open, high, low, close, volume, adj close (2001, 7) each of stock
shukal090/Play-store-Analyses
Analyses done on play store to get various insights .It is done in excel and dashborad is created
shukal090/Predict-The-Data-Scientists-Salary-In-India-Hackathon
MachineHack is an online platform for Machine Learning competitions. We host toughest business problems that can now find solutions in Machine Learning & Data Science
shukal090/Resume
shukal090/shukal
shukal090/Telecom-Churn-Prediction
shukal090/Zomato-restaurants-
Context I really get fascinated by good quality food being served in the restaurants and would like to help community find the best cuisines around their area Content Zomato API Analysis is one of the most useful analysis for foodies who want to taste the best cuisines of every part of the world which lies in their budget. This analysis is also for those who want to find the value for money restaurants in various parts of the country for the cuisines. Additionally, this analysis caters the needs of people who are striving to get the best cuisine of the country and which locality of that country serves that cuisines with maximum number of restaurants.♨️