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Flight Fare Prediction: machine Learning program Regression Part 3

🎥 Welcome to another exciting live coding session! In today’s video, we’ll tackle the Flight Fare Prediction Problem using machine learning. 🛫💡 This is a regression problem where we predict flight ticket prices based on various features like departure time, airline, and duration. We'll cover the entire workflow: - Data preprocessing 📊 - Feature engineering 🔧 - Model building � - Hyperparameter t...

🎥 Welcome to our TH-cam channel! In this video, we’re diving into an exciting machine learning project: Flight Fare Prediction. 🚀 Learn how to build an end-to-end regression model to predict flight ticket prices using machine learning. From data preprocessing to model training, and finally to deployment, we’ll guide you through every step. If you're looking to sharpen your data science skills a...

Here is a live execution of a machine learning program for laptop price prediction using linear regression. In this code, we have done the basic execution of the code. You can find the dataset and the ipynb file here: www.drive.google.com/drive/folders/1gEL2Judr7xKjiPa8ClJ7-NxDm1KDvwIS?usp=drive_link Do let us know about your views on the video. 🔔 Don’t forget to Like, Comment, and Subscribe fo...

Here is a live execution of a program that demonstrates transfer learning for classification. It is a very important concept and video is divided in 3 parts: 1) Explanation 2) Loading the Image 3) Making the model The video will certainly add value to your knowledge. #deep_learning #neuralnetworks #resnet50 #transfer_learning

In the third part we will make the model and use a test image to do the prediction. We have used the transfer learning concept where we took a pretrained model and partially trained its ANN network with the custom dataset.

In this part we will start the writing of program on google colab. The program shows how to load image, preprocess it and save it in a variable. You can access the code and dataset from the following link: drive.google.com/drive/folders/1YiYA_hGaNHBJypZAeEvK4i-xFZdJDwr6?usp=drive_link

Here we have demonstrated an implementation of image prediction using transfer learning. In transfer learning we use a model already trained by someone for our own prediction. In this program, we have used VGG16 and Resnet50 as the pretrained models. VGG stands for Visual Geometry Group. VGG16 has 16 layers. You can find the colab notebook and the images on the link here: drive.google.com/drive...

Classification of image of cats and dogs using CNN (Convolution Neural Network) on tensorflow. Here we have made the program from scratch for better grasp and understanding. The dataset used is of Cats and Dogs. We have used google colab for implementation of the code. The dataset is available here: drive.google.com/file/d/1YynShUe2nvC-IoUF92DVTy15XdEpSyzu/view?usp=drive_link In case of any dou...

Part 2 of the explanation of confusion matrix. Confusion matrix is used in evaluation of classification models in Machine Learning when we are presented with an imbalanced dataset. It is one of the most important concept and a must ask question for the interview. I do hope you will get to learn some good things from the video. Please give your feedback on comments or mail: artemisfowl795@gmail....

Confusion Matrix is used to evaluate a classification model.

Welcome to this video on income classification using machine learning algorithms! In this video, we will explore the performance of four different algorithms - KNN, Random Forest, Decision Tree, and XGBoost - in classifying income levels based on various features. We will discuss how these algorithms work, and also go through the implementation of each algorithm from scratch. Additionally, we w...

Here is a python code demonstrating Linear Regression to predict the price of used cars. Access the files here: www.github.com/ArtemisFwl/Car-Price-Prediction #machine_learning #linear_regression #programming