Pinned Repositories
Alexnet-Architecture
AlexNet is the name of a convolutional neural network which has had a large impact on the field of machine learning, specifically in the application of deep learning to machine vision. It famously won the 2012 ImageNet LSVRC-2012 competition by a large margin (15.3% VS 26.2% (second place) error rates). The network had a very similar architecture as LeNet by Yann LeCun et al but was deeper, with more filters per layer, and with stacked convolutional layers. It consisted of 11×11, 5×5,3×3, convolutions, max pooling, dropout, data augmentation, ReLU activations, SGD with momentum. It attached ReLU activations after every convolutional and fully-connected layer. AlexNet was trained for 6 days simultaneously on two Nvidia Geforce GTX 580 GPUs which is the reason for why their network is split into two pipelines.
Brain-Tumor-Recognition
In this project we train a CNN model on Brain images and try to Recognize Images with brain tumor
Carz
Churn-Prediction-Using-ANN
In this project we create an artificial neural network architecture to solve a classification problem of customer churn prediction
Customer-Churn-Prediction
This Project is based on customer churn prediction of a telecom company
Digital_Clock
Python Project 1 : In this project we are creating a digital clock in python with the help of Tkinter GUI
Drops
Drops is a rain prediction web API which helps you in predicting whether or not it will rain tomorrow. The whole project is built on a machine learning model that takes account of several factors in order to predict rainfall. The Data that has been used is of Australia which tells us a lot about the climatic conditions over there based on different regions and topologies. Since global warming, the patterns in rainfall across the globe have changed drastically hence relying on one model won't suffice in the long run. Creating future scope for this project where with the help of live data streaming the model will keep evolving and give even better results.
Flight-Price-Prediction
In this project we will predict flight prices using a lot of data preprocessing and then create a GUI using Tkinter that displays the predicted price based on the inputs given by the user
ML-OPS
Trying out MLOPS
python_spam_message_classifier
This is a python project that classifies message as spam or relevant to the user
Ayush036's Repositories
Ayush036/ML-OPS
Trying out MLOPS
Ayush036/Brain-Tumor-Recognition
In this project we train a CNN model on Brain images and try to Recognize Images with brain tumor
Ayush036/Alexnet-Architecture
AlexNet is the name of a convolutional neural network which has had a large impact on the field of machine learning, specifically in the application of deep learning to machine vision. It famously won the 2012 ImageNet LSVRC-2012 competition by a large margin (15.3% VS 26.2% (second place) error rates). The network had a very similar architecture as LeNet by Yann LeCun et al but was deeper, with more filters per layer, and with stacked convolutional layers. It consisted of 11×11, 5×5,3×3, convolutions, max pooling, dropout, data augmentation, ReLU activations, SGD with momentum. It attached ReLU activations after every convolutional and fully-connected layer. AlexNet was trained for 6 days simultaneously on two Nvidia Geforce GTX 580 GPUs which is the reason for why their network is split into two pipelines.
Ayush036/Carz
Ayush036/Churn-Prediction-Using-ANN
In this project we create an artificial neural network architecture to solve a classification problem of customer churn prediction
Ayush036/Customer-Churn-Prediction
This Project is based on customer churn prediction of a telecom company
Ayush036/Digital_Clock
Python Project 1 : In this project we are creating a digital clock in python with the help of Tkinter GUI
Ayush036/Drops
Drops is a rain prediction web API which helps you in predicting whether or not it will rain tomorrow. The whole project is built on a machine learning model that takes account of several factors in order to predict rainfall. The Data that has been used is of Australia which tells us a lot about the climatic conditions over there based on different regions and topologies. Since global warming, the patterns in rainfall across the globe have changed drastically hence relying on one model won't suffice in the long run. Creating future scope for this project where with the help of live data streaming the model will keep evolving and give even better results.
Ayush036/Flight-Price-Prediction
In this project we will predict flight prices using a lot of data preprocessing and then create a GUI using Tkinter that displays the predicted price based on the inputs given by the user
Ayush036/python_spam_message_classifier
This is a python project that classifies message as spam or relevant to the user
Ayush036/Digits-Recognition
In this project we use the digits dataset and apply CNN for digit recognition
Ayush036/Google_News_Headlines
Python project 2: In this project we will use web scraping to extract the top news headlines from google news and read them out to the user using speech
Ayush036/Instagram-Scraping
Python Project 3: In this project we will be scrapping Instagram by performing various functions present in the instaloader module .
Ayush036/Iris_Classification
Multi class classification of flower species
Ayush036/Outlier-Removal-Z-Score-
In this project we are removing outliers from the data set using the z score .