Reading Time: 4 minutes Face Detection is currently a trending technology. You look out the offline world and internet world everywhere you see faces. Faces in pictures as well as in Videos. Of course, Our brain easily identifies the person in the pictures and videos. But we want that computer or mobiles itself identifies these things. Therefore In this…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
How to Create a Matrix in Python using Numpy ?
Reading Time: 3 minutes Numpy is the best libraries for doing complex manipulation on the arrays. It’s very easy to make a computation on arrays using the Numpy libraries. Array manipulation is somewhat easy but I see many new beginners or intermediate developers find difficulties in matrices manipulation. In this section of how to, you will learn how to…Continue Reading
How to Cover Python essential for Data Science in 5 Days ?
Reading Time: 2 minutes People love python for data science . Obviously Python is wide variety for data structure and inbuilt low complexity algorithms . Not only these but there are so many factors which make python as Most popular data science language . Now today lets understand How to cover Python essential for Data Science in 5 Days…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
Why IDE Shortcuts are important in Data Science ? : 4 Reasons
Reading Time: 2 minutes I am pretty sure you have invested a lot of time in finding the best IDE for data science and other development. I have also seen people choose the best IDE but use only 20 percent or less feature of it. See today’s IDE are not only capable of code compile and debug but single…Continue Reading
How to Set Tick Labels in Matplotlib ?
Reading Time: 3 minutes Matplotlib is the widely used open source visualization python library among the data scientist. But one of the most important tasks is how to make your visualization more readable and interpretation among the viewers. Therefore we use tick labels in the figure. In this tutorial of how to, you will know how to set tick…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 Get JSON Data from URL in Python ?
Reading Time: 3 minutes As a Data Scientist and AI programmer, you do most of the works on the JSON data. You usually fetch the JSON data from a particular URL and visualizes it. But traversing into a JSON data is always a challenging task for beginners. In this intuition, you will know how to get JSON data from…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
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