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1. PRODIGY_ML_Task1 PRODIGY_ML_Task1 Public

   in this i have implimmented linear regression model for prediction of house price based on its input features like no of room , bathroom and area etc

   Python

2. PRODIGY_ML_Task2 PRODIGY_ML_Task2 Public

   customer segmentation in which i have used k means algorithum which is basically algo for clustering (unsupervised machine learning)

   Python

3. PRODIGY_ML_Task3 PRODIGY_ML_Task3 Public

   i have implimented SVM model with acuracy of 78 percent to clasify the image ie dog or cat the data set is taken from kaggle https://www.kaggle.com/competitions/dogs-vs-cats/data.

   Python

4. PRODIGY_ML_Task4 PRODIGY_ML_Task4 Public

   in this i have made a model which use data(https://www.kaggle.com/datasets/gti-upm/leapgestrecog/data) to train test and validate this model has 10 clases ie gestures on which it is trained and has…

   Python

5. magma-system-object-detection magma-system-object-detection Public

   i have trained yolo model for realtime detection on 2 different data set one include apple class and other one include different fruit classes . i have achive high accuracy and speed by doing fine …

   Jupyter Notebook

6. magma-system-object-segmentation magma-system-object-segmentation Public

   i have trained yolo model for realtime segmentation on different data set with different number of clases achiving real time object segmentation with 99 percent accuracy for both object detection a…

   Jupyter Notebook