Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. In this article we will see
How to install Python on windows,
Verify if it installed correctly and
Create and run one hello-world program.
What is popular between blockchain and big data/data science? A few aspects that quickly struck our minds are that they are both of the best new technologies. Both have the ability to revolutionize the way industry works, and both provide promising career prospects. Blockchain encompasses many of the lucrative coins like BTC, Etherium, free xlm, etc.
Although data science is a comparatively well-established technique, blockchain is at a developing level. Let us explain more about each of them in order to evaluate them better.
In this we will learn from scratch how to implement decision tree using python. We will solve one classification problem and build the model from scratch. Following are the points we will be covering in this post:
Exploratory Data Analysis – EDA
Data Spliting- Stratified Sampling
Oversampling – SMOTE
Hyper parameter Tuning
ML FAQ Part 1
What is ROC-AUC curve and how to interpret it?
Explain Type I and Type II errors.
What is Precision and Recall?
What is F1 score?
What is the difference between r-square and adjusted r-square values?
This post is part 2 in the series of frequently asked Machine Learning Interview Questions and Answers. Machine Learning Frequently asked Interview Questions and Answers Part 2
1. What is Feature Scaling and why and where it is needed?
2. Normalization vs Standardization
3. What is the bias-variance trade-off?
4. Define the Overfitting problem and why it occurs?
5. What are the methods to avoid Overfitting in ML?