ParidhiGola

Machine Learning|Artificial Intelligence|Statistics

Bengaluru

Pinned Repositories

-Recommendation-system-
Build your own recommendation system for products on an e-commerce website like Amazon.com.
Language:Jupyter Notebook10
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.
Language:Jupyter Notebook2 2 06
CardioGoodFitness---Descriptive-Statistics
Cardio Good Fitness Case Study - Descriptive Statistics
Language:Jupyter Notebook1161
DNN_Classification_SVHN-Dataset
Deep Neural Networks_The Street View House Numbers (SVHN) Dataset
Language:Jupyter Notebook12
Identifying-potential-customers-for-loans
Supervised Learning Identified potential loan customers for Thera Bank using classification
Language:Jupyter Notebook06
Phishing-Detector-with-KNN
Build a model to find out if a website is Legitimate/Suspicious/Malicious using K Nearest Neighbor
Language:Jupyter Notebook11
Qualitative_Bankruptcy
Predict Bankruptcy from Qualitative parameters.
Language:Jupyter Notebook00
Sentiment-Analysis
Sentiment analysis from the tweets data
Language:Jupyter Notebook10
Statistical_NLP_BlogCorpus
Multi label classification problem
Language:Jupyter Notebook10
Uber-Fare-Prediction
Design an algorithm which will tell the fare to be charged for a passenger.
Language:Jupyter Notebook55

ParidhiGola's Repositories

ParidhiGola/CardioGoodFitness---Descriptive-Statistics
Cardio Good Fitness Case Study - Descriptive Statistics
Language:Jupyter Notebook1161
ParidhiGola/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.
Language:Jupyter Notebook2 2 06
ParidhiGola/-Recommendation-system-
Build your own recommendation system for products on an e-commerce website like Amazon.com.
Language:Jupyter Notebook10
ParidhiGola/DNN_Classification_SVHN-Dataset
Deep Neural Networks_The Street View House Numbers (SVHN) Dataset
Language:Jupyter Notebook12
ParidhiGola/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.
Language:Jupyter Notebook11
ParidhiGola/Hypothesis-Testing
Applying multiple hypothesis tests
Language:Jupyter Notebook12
ParidhiGola/KMean_UnsupervisedLearning
Building KMean Clustering Model
Language:Jupyter Notebook11
ParidhiGola/KNN_IrisDataset
Explore the inner workings of KNN, choosing the optimal K values and using KNN from scikit-learn.
Language:Jupyter Notebook15
ParidhiGola/Language_Translator_-_Predictor
Seq2Seq LSTM AttentionModel_Translation_Prediction.ipynb
Language:Jupyter Notebook10
ParidhiGola/Sentiment-Analysis
Sentiment analysis from the tweets data
Language:Jupyter Notebook10
ParidhiGola/Statistical_NLP_BlogCorpus
Multi label classification problem
Language:Jupyter Notebook10
ParidhiGola/Identifying-potential-customers-for-loans
Supervised Learning Identified potential loan customers for Thera Bank using classification
Language:Jupyter Notebook06
ParidhiGola/Qualitative_Bankruptcy
Predict Bankruptcy from Qualitative parameters.
Language:Jupyter Notebook00
ParidhiGola/Basic-functions--TensorFlow
TensorFlow - Iris and Stock Dataset
Language:Jupyter Notebook2 0
ParidhiGola/Bidirectional_LSTM
Sarcasm Detection
Language:Jupyter Notebook
ParidhiGola/Classification_CNN_TransferLearning
Dog Breed Classification
Language:Jupyter Notebook
ParidhiGola/DecisionTreeClassifier_PimaDiabetes
Create the decision tree model using “entropy” method of reducing the entropy and fit it to training data.
Language:Jupyter Notebook1
ParidhiGola/FashionMNIST_CNN_CIFAR10_DATA_Augment
FashionMNIST_CNN_CIFAR10_DATA_Augment
Language:Jupyter Notebook
ParidhiGola/Healthcare
Build a model to accurately predict whether the patients in the dataset have diabetes or not.
Language:Jupyter Notebook
ParidhiGola/IrisDataset_EDA
The IRIS data set contains 3 classes of 50 instances each,
Language:Jupyter Notebook1
ParidhiGola/K-fold-cross-validation_Validation_Accuracy
Prepare the model data by converting non-numeric to dummy
Language:Jupyter Notebook1
ParidhiGola/KerasClassifier
Build a classifier that can determine whether bank customer will leave or not using Neural networks.
Language:Jupyter Notebook
ParidhiGola/LSTM_TimeSeries_Data
Time series prediction using LSTM
Language:Jupyter Notebook
ParidhiGola/NaiveBayes_Logistic_Iris
Iris Dataset classification using different algorithims.
Language:Jupyter Notebook1
ParidhiGola/opencv
Open Source Computer Vision Library
ParidhiGola/PrincipalComponentAnalysis
Breast Cancer Wisconsin (Original) Data Set
Language:Jupyter Notebook1
ParidhiGola/PythonForML
Lists, Dictionaries and Sets in Python
Language:Jupyter Notebook1
ParidhiGola/QuestionAnswersingSystem-using-BERT
Build a question answering system on covid dataset using BERT
Language:Jupyter Notebook
ParidhiGola/StatisticalLearning-Project2
Domain: Healthcare
Language:Jupyter Notebook7
ParidhiGola/WebScrapping
UsingPostman
Language:Jupyter Notebook