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Machine Learning For Absolute Beginners (1).pdf2.64 MB

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📚Top 06 FREE Data Science Books For Complete Beginners📚 Practical Statistics for Data Science https://t.co/Rd2l2gKsQk Learn
📚Top 06 FREE Data Science Books For Complete Beginners📚 Practical Statistics for Data Science https://t.co/Rd2l2gKsQk Learn Python the Right Way https://t.co/dKMuxHdXZT Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PHD https://t.co/12bfsth3Qa Python Data Science Handbook https://t.co/XE2XYNppLj Pandas: Powerful Python Data Analysis Toolkit https://t.co/quzb8lsBBR Hands-on Machine Learning with Scikit-learn, Keras and Tensorflow https://t.co/NtzBd75taD

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❤️BECOME DATA SCIENTIST FOR FREE - Roadmap & Resources❤️ Essential Mathematics for Machine Learning Playlist | IIT Roorkee July 2018 | YouTube https://www.youtube.com/watch?v=JO9jNe6BemE&list=PLLy_2iUCG87D1CXFxE-SxCFZUiJzQ3IvE StatQuest with Josh Starmer | YouTube https://www.youtube.com/@statquest Excel Data Analytics Full Course | Simplilearn | Youtube https://www.youtube.com/watch?v=qYm1dZ8T_DU Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib) | YouTube https://www.youtube.com/watch?v=LHBE6Q9XlzI Data Analysis with Python Course - Numpy, Pandas, Data Visualization https://www.youtube.com/watch?v=GPVsHOlRBBI Complete Machine Learning playlist | Krish Naik | YouTube https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems | Book by Aurélien Géron (Check our telegram, we have shared this before.) Dive into Deep Learning | Free E-Book https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiCrcbFuNL7AhVaR2wGHVP3CNMQFnoECCsQAQ&url=https%3A%2F%2Fd2l.ai%2F&usg=AOvVaw14YuIT7ZF_l-tU2qVLejpR Stanford CS230: Deep Learning (For theory) https://www.youtube.com/watch?v=PySo_6S4ZAg&list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb Deployment of ML Models | Krish Naik https://www.youtube.com/watch?v=bjsJOl8gz5k&list=PLZoTAELRMXVOAvUbePX1lTdxQR8EY35Z1 Projects, Resume Building, Competitions 1. https://www.kaggle.com/ 2. https://www.stratascratch.com/

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❤️BEST RESOURCES FOR THE 100 DAYS DATA SCIENCE CHALLENGE❤️ 1) Mathematics for Machine Learning Specialization | Coursera. https://in.coursera.org/specializations/mathematics-machine-learning 2) StatQuest with Josh Starmer | YouTube https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw 3) Excel Data Analytics Full Course | Simplilearn | Youtube https://www.youtube.com/watch?v=OOWAk2aLEfk 4) Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib) | YouTube https://www.youtube.com/watch?v=LHBE6Q9XlzI 5) Complete Machine Learning playlist | Krish Naik | YouTube https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe 6) Machine Learning Specialization | Coursera https://in.coursera.org/specializations/machine-learning-introduction 7) Google Data Analytics Professional Certificate https://in.coursera.org/professional-certificates/google-data-analytics 8) Dive into Deep Learning | E-Book http://d2l.ai/ 9) Deep Learning Specialization https://in.coursera.org/specializations/deep-learning 10) Deployment of ML Models | Krish Naik https://www.youtube.com/watch?v=bjsJOl8gz5k&list=PLZoTAELRMXVOAvUbePX1lTdxQR8EY35Z1 11) Kaggle https://www.kaggle.com/ 12) StrataScratch https://platform.stratascratch.com/coding?code_type=1 13) SQL Tutorial - Full Database Course for Beginners | YouTube https://www.youtube.com/watch?v=HXV3zeQKqGY

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❤️IMPORTANT MATHS FOR DATA SCIENCE - And Resources to Learn it❤️ Coursera: Data science math skills https://www.coursera.org/learn/datasciencemathskills edX: Introduction to algebra https://www.edx.org/course/introduction-algebra-schoolyourself-algebrax-1 Khan Academy: Algebra I https://www.khanacademy.org/math/algebra Coursera: Statistics with R specialization https://www.coursera.org/specializations/statistics Coursera: Business statistics and analysis specialization https://www.coursera.org/specializations/business-statistics-analysis edX: Statistics and probability in data science using Python https://courses.edx.org/courses/course-v1:UCSanDiegoX+DSE210x+3T2017/course/ edX: Linear algebra: foundations to frontiers https://courses.edx.org/courses/course-v1:UTAustinX+UT.5.05x+2T2017/course/ Coursera: Mathematics for machine learning: linear algebra https://www.coursera.org/learn/linear-algebra-machine-learning edX: Pre-university calculus https://www.edx.org/course/pre-university-calculus Khan Academy: Calculus I https://www.khanacademy.org/math/calculus-1 Coursera: Mathematics for machine learning: multivariable calculus https://www.coursera.org/learn/multivariate-calculus-machine-learning Coursera: Introduction to discrete mathematics for computer science specialization https://www.coursera.org/specializations/discrete-mathematics Coursera: Introduction to mathematical thinking https://www.coursera.org/learn/mathematical-thinking Udemy: Master discrete mathematics: sets, math logic, and more https://www.udemy.com/master-discrete-mathematics/ edX: Optimization methods in business analytics https://courses.edx.org/courses/course-v1:MITx+15.053x+3T2016/course/ Coursera: Discrete optimization https://www.coursera.org/learn/discrete-optimization edX: Deterministic optimization https://www.edx.org/course/deterministic-optimization-0