Pinned Repositories
Capstone1-Suicide_Rate_Analysis-M7
Capstone2_Narrative-analytics-and-experimentation
Capstone2 - Narrative analytics and experimentation
Capstone3_SupervisedLearning
This model contains analysis that will help us to understand what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
Data-visualization-and-exploration-M12
Data-visualization-and-exploration
Detecting-Bias-and-Types-of-Bias-M13-S13.4
E2E-Data2ModelEvaluation
Experimental-design-and-A-B-testing-M13
LifeExpectancy-WHO-Cleaning-EDA-FeatureEngineering
Predict-Graduate-Admissions
Our analysis will help us to understand what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
Programming-in-Python-M6
Harshini-Gadige's Repositories
Harshini-Gadige/Capstone1-Suicide_Rate_Analysis-M7
Harshini-Gadige/Capstone2_Narrative-analytics-and-experimentation
Capstone2 - Narrative analytics and experimentation
Harshini-Gadige/Capstone3_SupervisedLearning
This model contains analysis that will help us to understand what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
Harshini-Gadige/Data-visualization-and-exploration-M12
Data-visualization-and-exploration
Harshini-Gadige/Detecting-Bias-and-Types-of-Bias-M13-S13.4
Harshini-Gadige/E2E-Data2ModelEvaluation
Harshini-Gadige/Experimental-design-and-A-B-testing-M13
Harshini-Gadige/LifeExpectancy-WHO-Cleaning-EDA-FeatureEngineering
Harshini-Gadige/Predict-Graduate-Admissions
Our analysis will help us to understand what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
Harshini-Gadige/Programming-in-Python-M6
Harshini-Gadige/Statistics-and-probability-with-Python-M7
Module 7 Basic statistics and probability with Python
Harshini-Gadige/SupervisedLearningClassification-M18
Harshini-Gadige/SupervisedLearningRegression-M19
SupervisedLearningRegression M19
Harshini-Gadige/bazel
a fast, scalable, multi-language and extensible build system
Harshini-Gadige/Certificate
Harshini-Gadige/data-201-resources
Public resources related to Thinkful's data science bootcamp
Harshini-Gadige/DataScienceCaseStudy
Harshini-Gadige/DataScienceRegressionCaseStudy
DataScienceRegressionCaseStudy
Harshini-Gadige/docs
TensorFlow documentation
Harshini-Gadige/DSBC
Harshini-Gadige/hello-git
Harshini-Gadige/hub
A library for transfer learning by reusing parts of TensorFlow models.
Harshini-Gadige/keras
Deep Learning for humans
Harshini-Gadige/M12-S12.2-Seaborn
Harshini-Gadige/Model-Preparation-M17
Model Preparation
Harshini-Gadige/SQL
Harshini-Gadige/tensorboard
TensorFlow's Visualization Toolkit
Harshini-Gadige/tensorflow
An Open Source Machine Learning Framework for Everyone
Harshini-Gadige/thinkful-final-capstone
I built a convolutional neural network (CNN) model to classify potential pneumonia cases using chest radiographs available from "RSNA Pneumonia Detection Challenge" kaggle competition.
Harshini-Gadige/UnSupervisedLearning