Ames housing dataset
The Ames housing dataset was the basis for the Kaggle house prices competition. The object of the competition was to predict the sale price of a house based on a set of features such as the number of bedrooms, the neighborhood within Ames, etc. by using XGBosting Alg.
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Computer and communications engineer specialized in artificial intelligence, machine learning and deep learning. I have been working as a Data Scientist & Machine Learning Engineer for less than one year now. Experience with: - Deep Learning: Deep Neural, Convolution Neural and Recurrent Neural Networks etc. - Gradient Boosting algorithms - Supervised and Unsupervised learning - Python Libraries: numpy, pandas, sklearn, keras, cv2, seaborn, matplotlib and a lot more. But the main thing about me is my capability to learn new things fast and work in a different environment with people from different countries. Client satisfaction is my 1st priority. - 30 days error free service - Continued support after the delivery of the final product - 100 % satisfaction guaranteed -Free report about project Some of the projects on which I worked are: - Image Segmentation - Breast Cancer Detection By CNN - Predicting Stars, Galaxies & Quasars with ML
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