CONSIDER YOUR JOB DONE
I have reviewed your python script & will complete it.
Some of my past work is:
COURSE SUGGESTING CHATBOT |RASA NLU,SPACY,BOTKIN, NLTK, PANDAS
This project is being developed as a course suggesting assistant for the training and education wing of CETPA. It asks for certain questions regarding educational background, interests, time etc. and suggest certain choices based on the knowledge acquired in an interactive manner.
CHURN PREDICTION ON TELECOM DATASET | SCIKIT-LEARN, FLASK, PANDAS, NUMPY,
AUTOMOBILE DATA ANALYTICS | R,GGPLOT2, SHINY, RSTUDIO
The dataset was analyzed using EDA and several potential relationships between automobile characteristics
were identified and a predictive model to classify pricing into two categories was created using Regression.
MATPLOTLIB
Telecom dataset used to predict churning was first wrangled using Pandas and then different scikit-learn models were applied on the refined dataset .K-fold cross validation was used to suggest the best performing model. Confusion matrix with and without normalization was also generated. Web-application using Flask is used to deploy the model in real-time.
PREDICTING LOAN DEFAULT | SCIKIT-LEARN, PANDAS, matplotlib
Built an ensemble of XGBoost and Gradient Boosting model to predict the customer default in a Bank. Cleaned and analyzed the data and engineered new features using the insights obtained by analyzing the data. Achieved a decent accuracy of 72% on the reasonable-sized data