Github Zenithflux Data Scientist Salary Prediction Predict The
Github Zenithflux Data Scientist Salary Prediction Predict The Data scientist salary prediction ๐ฒ๐ฐ๐น predict the salaries of data science professionals using this ml webapp, built using streamlit . click the link below to go to the live site. go to site: ds salary prediction.streamlit.app dataset used for training: salary prediction (kaggle). This webapp is used for predicting the salaries of data scientists using a machine learning model. exploratory data analysis and model training report are also included on the website.
Github Zenithflux Data Scientist Salary Prediction Predict The Predict the salaries of a data science professionals releases ยท zenithflux data scientist salary prediction. Salaryprediction ๐ผ salary prediction model using ibm watson autoai this project predicts the salary of an individual based on various job and personal attributes using ibm watson autoai. the model was trained and deployed on ibm cloud using xgboost regressor with automatic feature engineering, hyperparameter tuning, and evaluation. Employee salary prediction: a machine learning approach this repository contains a comprehensive notebook that demonstrates the end to end process of predicting employee salaries using supervised machine learning techniques. as a data scientist, i have structured the workflow to reflect both business relevance and technical rigor, suitable for real world hr analytics applications. Features predict salary (inr) using: years experience, education level, job title, city, company size, and skills (python, java, aws, sql). clean service controller layers, reusable pipeline, and type safe request validation. trained on a synthetic but realistic dataset (data salary data.csv) you can retrain on your data. dockerfile gunicorn docker compose.yml for easy deploy. ready for.

Github Anillava1999 Data Scientist Salary Prediction Data Scientist Employee salary prediction: a machine learning approach this repository contains a comprehensive notebook that demonstrates the end to end process of predicting employee salaries using supervised machine learning techniques. as a data scientist, i have structured the workflow to reflect both business relevance and technical rigor, suitable for real world hr analytics applications. Features predict salary (inr) using: years experience, education level, job title, city, company size, and skills (python, java, aws, sql). clean service controller layers, reusable pipeline, and type safe request validation. trained on a synthetic but realistic dataset (data salary data.csv) you can retrain on your data. dockerfile gunicorn docker compose.yml for easy deploy. ready for. What are you waiting for, solve the problem by predicting how much a data scientist or analytics professional will be paid by analysing the data given. bonus tip: you can analyse the data and get key insights for your career as well. Data scientist salary prediction ๐ฒ๐ฐ๐น predict the salaries of data science professionals using this ml webapp, built using streamlit . click the link below to go to the live site. go to site: ds salary prediction.streamlit.app dataset used for training: salary prediction (kaggle). In this section, we will check the raw data and get an understanding of what kind of data we are dealing with. # column non null count dtype . 0 job title 5892 non null object . 1 salary. Predict the salaries of a data science professionals data scientist salary prediction setup.py at main ยท zenithflux data scientist salary prediction.
Comments are closed.