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Comparison of regression algorithms

£30-75 GBP

완료함
게시됨 거의 4년 전

£30-75 GBP

제출할때 지불됩니다
This project needs to be built in Jupyter Notebook, using interactive widgets available there (I understand you might not have experience with this, but please look it up, they should be easy to learn and implement, I don't need anything fancy), three algorithms - linear regression, ridge regression and k-nearest neighbours, the algorithms need to be written from scratch! I know there are built in ones available but those can't be used. How it should work: User picks a pre-loaded dataset from a drop-down menu (it's enough to just use diabetes and boston housing available in the notebook), allows some kind of parameter input from user (just a number, the parameter can be of your choice, I don't really know enough about this to suggest something), user clicks a button to run the comparison, three algorithms run against users selected dataset - Linear regression, Ridge regression and K-nearest neighbours. The program will automatically perform tests such as comparison of different kernels, parameters, etc and visualise the results. Which tests doesn't matter to me, it is up to you, but the more the better. Some kind of answer(s) should be given by the program indicating which algorithm is more suitable/ran better for this dataset, by how much ect. All three algorithms need to be written from scratch, not loaded from scikit-learn. I understand the description might be vague, but please ask me any questions you need.
프로젝트 ID: 24775322

프로젝트 정보

9 제안서
원격근무 프로젝트
활동 중 4년 전

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프로젝트를 수여된 사용자:
사용자 아바타
Hi, I have prior experience in implementing Machine Learning algorithms from scratch as well as with Jupyter Notebook IDE and it's widgets. Ping me to move further on this project. I'll be happy to help you. Thanks!
£40 GBP 4일에
4.9 (8 건의 리뷰)
2.7
2.7
9 이 프로젝트에 프리랜서들의 평균 입찰은 £57 GBP입니다.
사용자 아바타
I have worked across various domains such as Banking, Insurance, Healthcare, Telecom, Business Development. I am a Data Science and ML professional with 3 years of experience having deep understanding of algorithms and data analysis. SKILLS • Databases: MySQL, PostgreSQL, MongoDB. • Language: SQL, Python, Colab, Jupyter , Django, R, HTML • BI Tools: Tableau, Qlik, • Other Skills: OpenCV, TensorFlow, Theano, Keras, Scikit, Numpy, Pandas, YOLO, CUDA - Experienced in building end-to-end pipelines for Data manipulation, Modelling, Model selection and Prediction - Knowledge of a variety of Data Visualizations methods. - Statistical Analysis and knowledge of a variety of ML algorithms like: - Regression (Linear, Log Reg, GLM, Trees based ) - Dimension Reduction (PCA, LDA) - Classification (NB, SVM, Log Reg, Trees, Ensembles - RF, GBM , Adaboost, XGBOOST, CATBOOST) - Clustering- K Means/ hierarchical/DBSCAN/Affinity/Agglomerative/Spectral) - Expert in Tensorflow/Theano/Keras/Pytorch - Transfer Learning - Object Detection and Image Processing, Time Series Analysis - DBMS - MySQL, MongoDB - NLP & Text Analysis, Sentiment Analysis, POS, NER, Advanced text Classification using DL methods, Chatbots - Additional Tools - RapidMiner, WEKA, KNIME, TRIFECTA, Qlik, Tableau, GIT, AWS, GCP - Language - Python, R I understand the project requirement and will deliver the desired product within the time specified. I am a preferred freelancer on Freelancer.com , Lets talk on chat. Thanks
£53 GBP 7일에
4.5 (40 건의 리뷰)
6.5
6.5
사용자 아바타
Hey there, I can do this task for you. I am expert in Data science. Feel free to inbox me now. Thank you.
£100 GBP 2일에
5.0 (28 건의 리뷰)
5.2
5.2
사용자 아바타
Hello I am a Data Scientist/Machine Learning Engineer who has research and work experience on these field.I have very good python skills and worked famous libraries of it.I worked on large data sets especially in bank industry which is not clean data and used preprocessing to clean data.I worked projects such as credit scoring,churn prediction,Mc Kinsey customer acquisition and retention and applied various algorithms on them.I read description and I will implement three algorithm from scratch (Linear regression, Ridge regression and K-nearest neighbours),Load dataset and test them using this algorithm and will give you best result(highest accuracy).I am sure I can satisfy you with my results
£30 GBP 7일에
5.0 (3 건의 리뷰)
2.9
2.9
사용자 아바타
Hi, I have understood that you need Machine Learning Expert using Python in Jupyter Notebook for Comparison of regression algorithms. I offer my services for this project. I have made many Machine Learning based projects using Python as follows; • Email Classification using Natural Language Processing (NLP). • Classification of Iris data using SVM Classifier (SVC). • Classification of Muffin and Cupcake ingredient data using SVM Classifier (SVC). • Prediction of Solar Radiance using SVM regression (SVR). • Prediction of Solar Radiance using Bayesian Ridge regression. • Classification of Iris data using Decision Tree Classifier. • Regression of Boston and Diabetes using Decision Tree Regressor. • Classification of Iris data using Naive Bayes Classifier. • Classification of size of person using KNN. • Classification of Milk, Sugar, Butter, Egg, Baking Powder, Vanilla, Salt using KNN. • Regression of Boston and Diabetes using KNN. • Clustering fingerprint images using K-Means. • Classification of Iris and Breast cancer using neural network. • Regression of Boston and Diabetes using neural network. I ensure you to complete your project efficiently in time.
£50 GBP 3일에
5.0 (3 건의 리뷰)
1.8
1.8
사용자 아바타
Im data scientist at Wari. I have experience with clustering, preditive algorithms and risk-management. I will do it from scratch and send to you.
£45 GBP 2일에
0.0 (0 건의 리뷰)
0.0
0.0
사용자 아바타
Dear Sir and Madam, I should be grateful if you would consider my application for the position required. I enjoy 10 years of solid experience in fields of real estate management including experience in Business Analysis, Marketing, Public Relations. Now I am continuing my Data Science education in UC Berkeley Extension. My Skills across Supply Chain, Excel modelling, Argus, Cross Asset Investments, Sales, Market Research, Business and Data Analytics. During my last position, as Marketing Director for American Atlantic Partners I was responsible for developing analysis and generating reports using criteria such as property type, location, price, occupancy and lease rates to enhance business partners’ understanding of market trends and investment opportunities. My responsibilities also included developing and coordinating sales cycle, vendors and government authorities, developing strong relationships with internal and external clients. I am very keen to take new responsibilities with bigger operations and high challenges. I am a fast learner and can adapt to new situations and I am bilingual with fluent verbal and written skills in Chinese and English and experienced in dealing with different cultures and nationalities. I hope I may be granted a personal interview, if you feel my qualifications fit me for the position need. Looking forward to working with your esteemed organization. Your sincerely, Qi Chen
£53 GBP 7일에
0.0 (0 건의 리뷰)
0.0
0.0

고객에 대한 정보

국기 (UNITED KINGDOM)
Egham, United Kingdom
5.0
1
결제 수단 확인
4월 6, 2020부터 회원입니다

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