spratapa

Convolutional-Neural-Network-CNN-based-Prediction-of-Life-of-Lithium-Ion-Battery

Capacity Estimation of Li-Ion batteries using Convolutional Neural Network(CNN)

LSTM-based-Capacity-Estimation-of-Lithium-Ion-Battery-for-Electric-Vehicles

Long Short Term Memory(LSTM)

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

my_docker

Predicting-Breast-Cancer-using-LogisticRegression-DecisionTree-RandomForest-SVM-and-KNN-

This project deals with breast cancer detection using LogisticRegression, DecisionTree, RandomForest, SpaceVectorMachine and KNearestNeighbor Classifiers. The performance of these algorithms in classifying Malignant tumors from the Benign tumors has been analyzed with GiridSearchCV and KFold Cross Validation methods.

Predicting-the-life-of-Lithium-Ion-Battery-based-on-charging-profiles-using-Deep-Neural-Network

In this Deep Neural Network has been used to predict the remaining useful life of Lithium Ion Battery.

Time-Series-LSTM-based-Solar-Energy-Prediciton

Solar Energy prediction is a challenging problem, as it depends on the weather parameters of that region. The daily prediction of the solar energy of a solar farm is predicted from the historical daily production of the solar energy from the solar farm. This can be accomplished by time series forecasting technique, that predicts future events by analysing trends from the past, assuming that future trends will hold similar to historical trends. The Long Short-Term Memory (LSTM) is a variant of the Recurrent Neural Networks (RNN) that is capable of learning long term dependencies in the data. This project presents the prediction of Solar Energy with time series LSTM.

spratapa/LSTM-based-Capacity-Estimation-of-Lithium-Ion-Battery-for-Electric-Vehicles

Long Short Term Memory(LSTM)

spratapa/Convolutional-Neural-Network-CNN-based-Prediction-of-Life-of-Lithium-Ion-Battery

Capacity Estimation of Li-Ion batteries using Convolutional Neural Network(CNN)

spratapa/Predicting-the-life-of-Lithium-Ion-Battery-based-on-charging-profiles-using-Deep-Neural-Network

In this Deep Neural Network has been used to predict the remaining useful life of Lithium Ion Battery.

spratapa/Time-Series-LSTM-based-Solar-Energy-Prediciton

Solar Energy prediction is a challenging problem, as it depends on the weather parameters of that region. The daily prediction of the solar energy of a solar farm is predicted from the historical daily production of the solar energy from the solar farm. This can be accomplished by time series forecasting technique, that predicts future events by analysing trends from the past, assuming that future trends will hold similar to historical trends. The Long Short-Term Memory (LSTM) is a variant of the Recurrent Neural Networks (RNN) that is capable of learning long term dependencies in the data. This project presents the prediction of Solar Energy with time series LSTM.

spratapa/Predicting-Breast-Cancer-using-LogisticRegression-DecisionTree-RandomForest-SVM-and-KNN-

This project deals with breast cancer detection using LogisticRegression, DecisionTree, RandomForest, SpaceVectorMachine and KNearestNeighbor Classifiers. The performance of these algorithms in classifying Malignant tumors from the Benign tumors has been analyzed with GiridSearchCV and KFold Cross Validation methods.

spratapa/machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

spratapa/my_docker

spratapa/arc_sent_project

spratapa/arq_test

spratapa/BX-CSV-Dump

spratapa/Chess-Winner-Prediction-with-LSTM

spratapa/Chess_Winner_LSTM

spratapa/Data-Analysis-with-Pandas-and-Python-v-

Code Repository for Data Analysis with Pandas and Python(v), Published by Packt

spratapa/incubator-spot

Mirror of Apache Spot

spratapa/LDA_Topic

spratapa/new_project

spratapa/python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

spratapa/spot-docker

spratapa/TestDemo