Master Generative AI with 10+ Real-world Projects in 2025!
A tutorial for convolution neural networks to identify images. Learn about deep learning for computer vision and implement CNNs using graphlab in python.
Learn how Principal Component Analysis (PCA) can help you overcome challenges in data science projects with large, correlated datasets. Read Now!
This article reveals the winning solutions of date your data competition. Winners used R, python and boosting algorithms to get winning scores
This is a complete solution of machine learning data mining competition Kaggle Telstra network disruption competition using xgboost ensemble
Explore XGBoost parameters and hyperparameter tuning like learning rate, depth of trees, regularization, etc. to improve model accuracy.
Here are quick insights from India analytics & big data salary report 2016. Salary trends by data science tools, techniques, skills and location
This report conveys key analysis of job roles in analytics industry in India featuring important tools, cities, experience in data analytics
Take your GBM models to the next level with hyperparameter tuning. Find out how to optimize the bias-variance trade-off in gradient boosting algorithms.
Master data science & get hired at Google & Amazon. With books for data science, understand the predictive models statistically.
Solution to Big Mart sales problem - includes hypothesis, data exploration, feature engineering & regression, decision tree / random forest model
Edit
Resend OTP
Resend OTP in 45s