Pinned Repositories
26-Weeks-Of-Data-Science
Email Newsletter
Bootcamp_Problem_Statement
BostonHousePrice
CNN
Cotton-Leaf-Disease-prediction-using-the-transfer-learning-techniques
coursera
Home-Loan-prediction
Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set. Loan prediction is a very common real-life problem that each retail bank faces atleast once in its lifetime. If done correctly, it can save a lot of man hours at the end of a retail bank. Both the train and test dataset has been taken from Kaggle.
Hypothesis_Testing
To find out the interpretations and conclusions from the data(statistics) we use the null hypothesis.
pytket
Python module for interfacing with the CQC t|ket> library of quantum software
qiskit
Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.
sarathb818's Repositories
sarathb818/26-Weeks-Of-Data-Science
Email Newsletter
sarathb818/Bootcamp_Problem_Statement
sarathb818/BostonHousePrice
sarathb818/CNN
sarathb818/Cotton-Leaf-Disease-prediction-using-the-transfer-learning-techniques
sarathb818/coursera
sarathb818/Home-Loan-prediction
Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set. Loan prediction is a very common real-life problem that each retail bank faces atleast once in its lifetime. If done correctly, it can save a lot of man hours at the end of a retail bank. Both the train and test dataset has been taken from Kaggle.
sarathb818/Hypothesis_Testing
To find out the interpretations and conclusions from the data(statistics) we use the null hypothesis.
sarathb818/pytket
Python module for interfacing with the CQC t|ket> library of quantum software
sarathb818/qiskit
Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.
sarathb818/CRAFT
Craft for the text detection in the invoice images
sarathb818/Creating_data
sarathb818/discopy
a toolbox for computing with monoidal categories
sarathb818/Intel-QS
sarathb818/interview-question-data-science-
sarathb818/keras-mnist-tutorial
For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
sarathb818/List-Of-Open-Source-Internships-Programs
A curated list of all the open source internships/Programs
sarathb818/MachineLearning
Machine learning for beginner(Data Science enthusiast)
sarathb818/qiskit-community-tutorials
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
sarathb818/QNLP
ICHEC Quantum natural language processing (QNLP) toolkit
sarathb818/RNN
sarathb818/sktime
A unified toolbox for machine learning with time series
sarathb818/Stack-lstm-for-stock-price-prediction
sarathb818/textDetectionWithScriptID
Fully Convolutional Neural Network for Text Detection in Scene/Document with Script ID supports.
sarathb818/workshop-graphql-netflix