creating smart machines...
creating smart machines...
In today’s blog, we will see how we can implement self organizing maps in Python. This is going to be a very short blog. So without any further due, Let’s do it… Code for Self Organizing Maps… Final Results… Download the Source code… Do let me know if there’s any query regarding the project by […]
Self Organizing Maps – simplest way – with source code – 2025 Read More »
In today’s blog, we will perform pedestrian detection using HOG short for Histogram for Gradients. HOGs are great feature detectors and can also be used for object detection with SVM but due to many other State of the Art object detection algorithms like YOLO, and SSD, present out there, we don’t use HOGs much for
Pedestrian Detection using HOGs in Python – simplest way – easy project – 2025 Read More »
So guys in today’s blog we will implement the Face Landmarks Detection using the dlib library. We will perform both the 68-point and 5-point detections. Below is an illustration of 68 Face Landmarks. So without any further due, let’s do it… Install dlib Code for Face Landmarks Detection… Results 68 Face Landmark Result 5 Face
Face Landmarks Detection using dlib – with source code – easy implementation – 2025 Read More »
In today’s very short blog we will see that how we can make our sketch using OpenCV in the simplest way possible. This is going to be a very fun project for beginners. So without any further due, Let’s do it… Code for making a sketch using OpenCV… Final result… Download the Source Code… Do
Make your Sketch using OpenCV in Python – simplest way – easy project – 2025 Read More »
In today’s blog, we will build an IPL Score Prediction model using Ridge Regression which is just an upgraded form of Linear Regression. We have the IPL data from 2008 to 2017. We will also be building a beautiful-looking GUI using HTML and CSS, so without any further due, Let’s do it… Create a conda
IPL Score Prediction with Flask app – with source code – 2025 Read More »
So in today’s blog, we are going to perform the weight category prediction of a person given height, weight, and gender with the help of the Random Forest algorithm. This is going to be a very interesting blog, so without any further due, let’s do it… Checkout the video here – https://youtu.be/YmZe9lreH4M Code for weight
Weight Category prediction using Random Forest – with source code – 2025 Read More »
So in today’s blog, we will see how we can perform Face Recognition using KNN (K-Nearest Neighbors Algorithm) and Haar cascades. Haar cascades are very fast as compared to other ways of detecting faces (like MTCNN) but with an accuracy tradeoff. Its accuracy is a bit less when compared with these big boys like MTCNNs.
So guys here is yet another one of the most favorite projects of mine. In this blog, we will be implementing a Flight Price Prediction model using different techniques and also we will be performing some data visualizations to better understand our data. Checkout the video demonstration here – https://youtu.be/LFQ2JwEVf6M So without any further due,
House Price Prediction Project proves to be the Hello World of the Machine Learning world. It is a very easy project which simply uses Linear Regression to predict house prices. This is going to be a very short blog, so without any further due, Let’s do it… Checkout the video here – https://youtu.be/Hlr6y6youhI Step 1
House Price Prediction – USA Housing Data – with source code – easy project – 2025 Read More »
In today’s blog, we will see how we can perform stock sentiment analysis using the headlines of a newspaper. We will predict if the stock market will go up or down. This is a simple but very interesting project due to its prediction power, so without any further due, Let’s do it… Step 1 –
Stock Sentiment Analysis using headlines – with source code – easiest explanation – 2025 Read More »