paridhigola Goto Github PK
Name: Paridhi
Type: User
Bio: Machine Learning|Artificial Intelligence|Statistics
Location: Bengaluru
Paridhi's Projects
-recommendation-system-
Build your own recommendation system for products on an e-commerce website like Amazon.com.
amazonemployeeaccess
Design an algorithm to accurately predict the access status to certain resources of employees
analysing-the-performance-of-football-teams
Analysed historical data about football teams which have participated in the the La Liga Cup and calculated various metrics which can be used as indicators of success for teams in the tournament.
basic-functions--tensorflow
TensorFlow - Iris and Stock Dataset
bidirectional_lstm
Sarcasm Detection
cardiogoodfitness---descriptive-statistics
Cardio Good Fitness Case Study - Descriptive Statistics
classification_cnn_transferlearning
Dog Breed Classification
decisiontreeclassifier_pimadiabetes
Create the decision tree model using “entropy” method of reducing the entropy and fit it to training data.
dnn_classification_svhn-dataset
Deep Neural Networks_The Street View House Numbers (SVHN) Dataset
ensemble-techniques-project
The main aim of the data is to discriminate healthy people from those with PD, according to "status" column which is set to 0 for healthy and 1 for PD.
fashionmnist_cnn_cifar10_data_augment
FashionMNIST_CNN_CIFAR10_DATA_Augment
healthcare
Build a model to accurately predict whether the patients in the dataset have diabetes or not.
hypothesis-testing
Applying multiple hypothesis tests
identifying-potential-customers-for-loans
Supervised Learning Identified potential loan customers for Thera Bank using classification
irisdataset_eda
The IRIS data set contains 3 classes of 50 instances each,
k-fold-cross-validation_validation_accuracy
Prepare the model data by converting non-numeric to dummy
kerasclassifier
Build a classifier that can determine whether bank customer will leave or not using Neural networks.
kmean_unsupervisedlearning
Building KMean Clustering Model
knn_irisdataset
Explore the inner workings of KNN, choosing the optimal K values and using KNN from scikit-learn.
language_translator_-_predictor
Seq2Seq LSTM AttentionModel_Translation_Prediction.ipynb
lstm_timeseries_data
Time series prediction using LSTM
naivebayes_logistic_iris
Iris Dataset classification using different algorithims.
opencv
Open Source Computer Vision Library
phishing-detector-with-knn
Build a model to find out if a website is Legitimate/Suspicious/Malicious using K Nearest Neighbor
principalcomponentanalysis
Breast Cancer Wisconsin (Original) Data Set
pythonforml
Lists, Dictionaries and Sets in Python
qualitative_bankruptcy
Predict Bankruptcy from Qualitative parameters.
questionanswersingsystem-using-bert
Build a question answering system on covid dataset using BERT
sentiment-analysis
Sentiment analysis from the tweets data
statisticallearning-project2
Domain: Healthcare
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