Pinned Repositories
20_newsgroups_text_classification
Basic idea- The purpose of this project is to be able to predict the type/class of a document by analysing the words in it, and searching for a pattern in order to implement this strategy. Approach-i have used 20 newsgroups dataset for text classification using naive bayes, based on the most frequently occuring words in all documents. It has been trained on sklearn's naive bayes classifier and my version of multinomial baiyes classifier as well.
AI_For_Business_Curriculum
This is the curriculum for the "AI for Business" Course By Siraj Raval on Youtube
Algorithms
In case you want to contribute, ping on https://gitter.im/NITSkmOS/algo.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
aws-transcribe-streaming-example-java1
Example Java Application using AWS SDK creating streaming transcriptions via AWS Transcribe
boston-dataset-predictions-using-gradient-descent
it predicts the prices of house in boston dataset using gradient descent algorithm
Colorization_of_B-W_images
Digit-Recognition-API
Digit recognition API for deploying a machine learning model that helps in digit recognition.
first-contributions
🚀✨ Help beginners contribute to open source projects
Using-AI-to-Detect-Diseases-in-Tomato-Plant
Theme of Project- AI in agriculture ; Purpose- Our purpose is to use AI to help us in detecting the various kinds of diseases found in the tomato plant, and then work on finding further solution to the problem. Tech Stack Used- LeNet-5, a pioneering 7-level convolutional network by LeCun et al in 1998, was used to train our model which is based on Tensorflow and Keras frameworks, OpenCV python library was used for image processing part ; Advantages- It will be very helpful for farmers as it will provide an inexpensive way of taking proper care of there plants.
shubham99999's Repositories
shubham99999/Using-AI-to-Detect-Diseases-in-Tomato-Plant
Theme of Project- AI in agriculture ; Purpose- Our purpose is to use AI to help us in detecting the various kinds of diseases found in the tomato plant, and then work on finding further solution to the problem. Tech Stack Used- LeNet-5, a pioneering 7-level convolutional network by LeCun et al in 1998, was used to train our model which is based on Tensorflow and Keras frameworks, OpenCV python library was used for image processing part ; Advantages- It will be very helpful for farmers as it will provide an inexpensive way of taking proper care of there plants.
shubham99999/boston-dataset-predictions-using-gradient-descent
it predicts the prices of house in boston dataset using gradient descent algorithm
shubham99999/e-mail_classifier_spam_not-spam
enron dataset was used to train the algorithm. Naive Bayes algorithm worked really well on the given dataset and gave an accuracy of 0.98 on test data!
shubham99999/first-contributions
🚀✨ Help beginners contribute to open source projects
shubham99999/20_newsgroups_text_classification
Basic idea- The purpose of this project is to be able to predict the type/class of a document by analysing the words in it, and searching for a pattern in order to implement this strategy. Approach-i have used 20 newsgroups dataset for text classification using naive bayes, based on the most frequently occuring words in all documents. It has been trained on sklearn's naive bayes classifier and my version of multinomial baiyes classifier as well.
shubham99999/AI_For_Business_Curriculum
This is the curriculum for the "AI for Business" Course By Siraj Raval on Youtube
shubham99999/Algorithms
In case you want to contribute, ping on https://gitter.im/NITSkmOS/algo.
shubham99999/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
shubham99999/aws-transcribe-streaming-example-java1
Example Java Application using AWS SDK creating streaming transcriptions via AWS Transcribe
shubham99999/Colorization_of_B-W_images
shubham99999/Digit-Recognition-API
Digit recognition API for deploying a machine learning model that helps in digit recognition.
shubham99999/Exploring-the-Titanic-disaster-and-testing-various-classifiers-and-Neural-network-for-Predicitions
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we have to complete the analysis of what sorts of people were likely to survive. In particular, we have to apply the tools of machine learning to predict which passengers survived the tragedy.
shubham99999/Face-Detection-using-haarcascade-face-detector
Just For Fun! :)
shubham99999/hello-world
my first repository
shubham99999/Hello-world-1
Add any Program in any language you like or add a hello world Program ❣️ if you like give us :star:
shubham99999/hello-world-2
shubham99999/Image-classification-using-PCA
Basic idea- Here we are training various classifier algorithms on the cifar10 image dataset and using PCA for feature decomposition.
shubham99999/ipython-notebooks
A collection of IPython notebooks covering various topics.
shubham99999/iris-dataset-classification
The iris dataset is converted into a categorical one and then a decision tree is implemented on it using gini parameter for splitting on nodes
shubham99999/linear-legression-model-diabetes-dataset
It uses linear regression from scikit learn module for predicting diabetes
shubham99999/pollerInChat
shubham99999/short-lnk
shubham99999/shubham99999.github.io
My personal blog website/portfolio ( Coming very soon! )
shubham99999/sklearn
DSD Meetup 4: SKLearn using Python
shubham99999/Supervised-Learning-Project-Predicting-the-Car-Prices
Basic idea- predicting the prices of old/second-hand cars by analysing the previous sale records and designing an algorithm that predicts the price of a new car depending on the features of the car.
shubham99999/TensorflowStarter
shubham99999/Twitter-Sentiment-Analysis
Given Twitter US Airline Sentiment Dataset, which contains data for over 14000 tweets, my task was to predict the sentiment of the tweet i.e. positive, negative or neutral.
shubham99999/weather-app
shubham99999/Will-you-survive-the-titanic-
predicting survival of passengers of titanic ship using logistic regression