# Machine Learning

Machine Learning Algorithms, Deep Learning, CV, and NLP

- Memory error while executing
- Outliers in Anomaly Detection using K-means
- Naive Bayes Assumption
- What is Q-learning?
- Can we derive new variables from existing variables?
- What is the difference between Prediction and forecasting?
- Why do we get high testing error while dealing with small datasets?
- How to install scikit-learn?
- Information Gain
- Gini Impurity
- Ensemble Learning - Bagging
- How to handle sequential data?
- What is the degree of freedom in polynomial regression?
- A/B Testing
- Use of RMSE
- Different results with GridSearchCV
- How to Tune the Hyperparameters of a Model?
- Logistic Regression Implying Variables
- Feature Importances
- Is it Regression or Classification?
- Prevention of loss of data while reducing dimension
- How to handle inconsistent and noisy data?
- linreg.intercept_ is obtained as an array. Why so?
- Healthcare: predict the number of claims to be rejected
- confusion matrix and finding the best parameter in a Decision tree.
- Feature Selection
- One hot encoding or Label Encoding?
- Approach on multi-class features
- Regression
- Model Evaluation