Arbaz's repositories
air-line-passenger-prediction-using-lstm-rnn
In this part i have implement Artificial Neural Networks and conduct in and out-of-sample predictions on our time series using the Python programming language. More specifically,I build a Multilayer Perceptron as well as a Long-Short-Term-Memory (LSTM) networks using keras with tensorflow backend to predict the number of international airline passengers and compare the results by the mean squared error criterion.
Boston-house-price-prediction
In this project, i had applied basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.I had first explored the data to obtain important features and descriptive statistics about the dataset. Next, i had properly split the data into testing and training subsets, and determine a suitable performance metric for this problem.I had then analyze performance graphs for a learning algorithm with varying parameters and training set sizes. Finally, i had tested this optimal model on a new sample and compare the predicted selling price to my statistics
ChatBot
ChatBot based on a Insurance Banking Bot to Human User question-answering system.
classification-of-ionosphere-dataset-using-ann
in this dataset i had classified radar returns from the ionosphere as either suitable for further analysis or not. This time-consuming task has typically required human intervention. I tested several different feedforward neural networks to investigate the effects of network type Classification of radar returns from the ionosphere using neural networks.
classification-of-species-of-flower-on-famous-iris-dataset-using-all-the-possible-algorithm
I had implemented every classifier algorithm right from logistic regression to ensemble learning algorithm and ann too
Classification-using-Artificial-Neural-Network-for-Pima-India-Diabetics-Datasets-
I have used ann for pima indian classifcation along with all the other supervised learning classification algorithm
Classify-whether-it-is-dog-or-cat
In this project I had implemented Convolutional Neural Network to classify images as either cat or dog. Written in python with keras
classifying-whether-sms-is-spam-or-ham
classifying whether sms is spam or ham using nlp and naive bayes classifier
clustering-and-segmenting-customers-based-on-salary-and-spending-score
clustering and segmenting customers based on salary and spending score by using kmeans and heirarchel clustering
clustering-colleges-based-on-different-parameter
For this project, i had attempted to use KMeans Clustering to cluster Universities into to two groups, Private and Public.
clustering-wines-based-on-its-different-properties
i had used a Wine data set to cluster different types of wines and reduced various parameter of wines using various dimesion reduction techniques. This data set contains the results of a chemical analysis of wines grown in a specific area of Italy.
determing-whether-tumor-is-malignant-or-benign.
I had implemented different machine learning algorithm in Python using Scikit-learn, a machine learning tool for Python. Using a database of breast cancer tumor information,Different classifer that predicts whether or not a tumor is malignant or benign
FunFacts
app that show different funfacts
google-stock-price-prediction
In this project i have used rnn model to predict google stock price using lstm
hyperparamter-tuning-using-gridsearch-on-suv-social-media-datasets
i had used grid search and implemented k-fold for evaluation and tuning of normal model
imdb-movies-reviews-sentiment-analysis-using-all-the-deep-learning-network
I had predicted the sentiment of movie reviews as either positive or negative in Python using the Keras deep learning library
Predict-metal-or-rock-returns-from-sonar-return-data.
Predict metal or rock returns from sonar return data using all the possible ml algorithm
predicting-whether-user-will-be-able-to-return-back-borrowed-loan-or-not
I have used all the classification algorithms for this problem
Random-Name-Generator
this is python program for genearting n numbers of random names based on user choice
Restaurant-reviews-classification-using-nlp-and-naive-bayes-classifer
in this project i had classified restaurant reviews using nlp and naive bayes classifier