Pinned Repositories
ANN-using-MNIST-dataset
building a complete neural network using Numpy.
Bike_Sharing-Linear-Regression
US bike-sharing provider BoomBikes is finding it very difficult to sustain in the current market scenario. So, it has decided to come up with a mindful business plan to be able to accelerate its revenue as soon as the ongoing lockdown comes to an end, and the economy restores to a healthy state.
Churn-Model
Churn Model by ussing 3 non-interpretable & 1 interpretable model
CNN-RNN-implementation
use a stock market price index data to implement the 1D CNN-RNN architecture
CREDIT-Dataset-EDA
To use Concepts of EDA and decipher which types of Customer defaults on a loan
Finetuning_with_PEFT
Help_NGO-Clustering
IMDB-Movie-Analysis
In this assignment, you will try to find some interesting insights into a few movies released between 1916 and 2016, using Python
Lead_Score-Logistic-Regression
X Education has appointed you to help them select the most promising leads, i.e. the leads that are most likely to convert into paying customers. The company requires you to build a model wherein you need to assign a lead score to each of the leads such that the customers with higher lead score have a higher conversion chance and the customers with lower lead score have a lower conversion chance. The CEO,in particular,has given a ballpark of the target lead conversion rate to be around 80%..
POS-Tagging-using-RNN
POS Tagging using RNN Variants ( Vanilla RNN, LSTM , GRU , Bidrectional GRU)
rathpr3's Repositories
rathpr3/POS-Tagging-using-RNN
POS Tagging using RNN Variants ( Vanilla RNN, LSTM , GRU , Bidrectional GRU)
rathpr3/ANN-using-MNIST-dataset
building a complete neural network using Numpy.
rathpr3/Bike_Sharing-Linear-Regression
US bike-sharing provider BoomBikes is finding it very difficult to sustain in the current market scenario. So, it has decided to come up with a mindful business plan to be able to accelerate its revenue as soon as the ongoing lockdown comes to an end, and the economy restores to a healthy state.
rathpr3/Churn-Model
Churn Model by ussing 3 non-interpretable & 1 interpretable model
rathpr3/CNN-RNN-implementation
use a stock market price index data to implement the 1D CNN-RNN architecture
rathpr3/CREDIT-Dataset-EDA
To use Concepts of EDA and decipher which types of Customer defaults on a loan
rathpr3/Finetuning_with_PEFT
rathpr3/Help_NGO-Clustering
rathpr3/IMDB-Movie-Analysis
In this assignment, you will try to find some interesting insights into a few movies released between 1916 and 2016, using Python
rathpr3/Lead_Score-Logistic-Regression
X Education has appointed you to help them select the most promising leads, i.e. the leads that are most likely to convert into paying customers. The company requires you to build a model wherein you need to assign a lead score to each of the leads such that the customers with higher lead score have a higher conversion chance and the customers with lower lead score have a lower conversion chance. The CEO,in particular,has given a ballpark of the target lead conversion rate to be around 80%..
rathpr3/Lesk-Algorithm
rathpr3/Notes-on-Linear-Regression
rathpr3/Top2Vec
Top2Vec learns jointly embedded topic, document and word vectors.
rathpr3/xgboost
xgboost