Reading Time: 3 minutes You guys are mostly familiar with the Trending word Machine Learning . Some of you also know the types of Machine Learning . So you must be wondering what value you will get in the article . See , We all know generally , There are 3 types of Machine Learning : Supervised , Unsupervised…Continue Reading

# Machine Learning

## Flask Token Based Authentication Example : Secure Your API

Reading Time: 5 minutes Most of the machine learning models and deep learning model do prediction through APIs.These APIs must be secured in such a way that no one can use it without your permission. There are many ways to do API authentication but the popular and common one is JWT authentication. In this entire intuition, you will know…Continue Reading

## Gradient Boosting Hyperparameters Tuning : Classifier Example

Reading Time: 3 minutes There are various machine learning algorithms that at the last make a weak model. You think to apply other algorithms and still, you get the weak model. If I say there is a method to make all the weak models to a strong model, then do you believe it. At first, you will not believe…Continue Reading

## How to Improve Accuracy of Random Forest ? Tune Classifier In 7 Steps

Reading Time: 4 minutes Random Forest is the best algorithm after the decision trees. You can say its collection of the independent decision trees. Each decision tree has some predicted score and value and the best score is the average of all the scores of the trees. But wait do you know you can improve the accuracy of the…Continue Reading

## Hyperparameters for the Support Vector Machines :Choose the Best

Reading Time: 3 minutes Support Vector Machine is one of the popular machine learning algorithms. If you have earlier build the machine learning model using a support vector machine, then this tutorial is for you. You will learn how to optimize your model accuracy using the SVM() parameters. In this intuition, you will know how to find the best…Continue Reading

## Step by Step Guide to Build Machine Learning Pipeline : Using scikit-learn

Reading Time: 2 minutes I know You have knowledge of building a machine learning model. It requires many steps like data cleaning, data reduction, model creation, and other steps. Each time you define a problem on it, you repeat all the steps to make a better model. But wait do you know you can automate these steps ?. If…Continue Reading

## 5 Common Machine Learning Modeling Challenges : You must Solve

Reading Time: 3 minutes Okay, You have decided to build your own machine learning model. You are using Sklearn that is popular machine learning libraries for modeling. But wait do you know the common machine learning modeling challenges faced by every data scientist. No, then you have come to the right place. Here You will know each modeling challenges…Continue Reading

## How to switch from Machine Learning to Deep Learning in 5 steps ?

Reading Time: 2 minutes One of the best questions of majority data science aspirants or intermediate data science practicer . Really Deep Learning seems more harder than traditional machine learning. But the truth is if you the basics of deep learning , this transition will be easy for you . My inbox is full of such questions hence today…Continue Reading

## Top 4 ways for Feature Scaling in Machine Learning

Reading Time: 2 minutes Feature Scaling is some thing which really effects the Machine Learning Model in so many ways . I agree there are so many situations where Feature Scaling is optional or not required . Still there are so many Machine Learning Algorithms where Feature Scaling is must have process . For instances – Regression, K-Mean Clustering…Continue Reading

## Naive Bayes Classifier Spam Filter Example : 4 Easy Steps

Reading Time: 4 minutes In probability, Bayes is a type of conditional probability. It predicts the event based on an event that has already happened. You can use Naive Bayes as a supervised machine learning method for predicting the event based on the evidence present in your dataset. In this tutorial, you will learn how to classify the email…Continue Reading

## How to Predict using Logistic Regression in Python ? 7 Steps

Reading Time: 4 minutes Logistic Regression is one of the popular Machine Learning Algorithm that predicts numerical categorical variables. It is a supervised Machine Learning Algorithm for the classification. You can think this machine learning model as Yes or No answers. For example, you have a customer dataset and based on the age group, city, you can create a…Continue Reading

## How to Pick a Machine Learning Algorithm? : Select the Best Model

Reading Time: 3 minutes Data is widely used in machine learning. There are various machine learning algorithms and choosing the best model for your problem is a time-consuming task. You choose that model that has better accuracy. Even I was facing when I have a problem and wants to pick up the best Machine Learning algorithm. In this intuition…Continue Reading

## How Linear Regression Works in Machine Learning ? Easy 7 Steps

Reading Time: 4 minutes Linear Regression is a very popular supervised machine learning algorithms. Supervised Means you have to train the data before making any new predictions. It finds the relationship between the variables for prediction. In this tutorial of “How to” you will know how Linear Regression Works in Machine Learning in easy steps. You will come to…Continue Reading

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