Artificial Intelligence or AI works without human interference. Machine Learning or ML is a subset of AI where data is most important. Deep Learning mainly comprises Neural Networks which mimic the brain. Data Scientist is a person who works on stats tools to analyze, preprocess, predict and forecast. AI applications Artificial Intelligence…

Table of Content Intuition What is Ensemble Learning? What is Bagging? What is Boosting? How Boosting works? Types of Boosting AdaBoost Gradient Boosting XGBoost Intuition Let’s think of a scenario where a machine has to recognize whether an animal is a cat or dog. There are different ways it can recognize: If it has…

Principal Coponent Analysis, or PCA, is a dimensionality-reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one that still contains most of the information in the large set. Table of Content Why do we need it? What it…

It is a predictive modeling technique. It estimates the relationship between dependent and independent variables. It is used when the output is in binary format(discrete or in categorical format) whereas linear regression is used when the output is continuous in range. Logistic regression curve converts any value to discrete values. There is a threshold that segregates the output as positive or negative(0 or 1).

K in KNN is the number of Nearest Neighbors. It is a Supervised learning algorithm. It classifies data points based on neighbors i.e. similarity measures. So, the data point is classified by five nearest neighbors. This algorithm is based on feature similarity. Parament tuning is used to choose k. If…

In this module, we will learn about Polynomial Regression and how it works. In the end, we will perform polynomial regression for the following dataset. Table of Content: The intuition behind Polynomial Regression Hands-on The intuition behind Polynomial Regression Sometimes, the dataset may not best fit Linear Regression. That’s when Polynomial Regression comes into play. …

Regression analysis is a form of predictive modelling technique that investigates the relationship between a dependent and independent variable Uses of Regression : Determining the strength of predictors Forecasting an effect Trend forecasting Difference between Linear Regression and Logistic Regression : Selection Criteria: Classification and Regression Capabilities. Data Quality Computational Complexity

In this blog, I will be sharing with you about my experience in OpenCV. Table of Content: Definition Applications Some important resources Scope Definition: Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. …

Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Table of Content Importing libraries Line Graph Multi-line Graph Scatterplot Histogram Bar Graph Pair Plot Importing Libraries