🎉 Machine Learning Specialization - 3/3 🎉 I'm thrilled to announce that I've completed the "Unsupervised Learning, Recommenders, and Reinforcement Learning" course from Stanford University, clinching top grades! 🌟🎖️ This segment of my ML journey took me deep into the world of clustering, dimensionality reduction, recommendation systems, and the fascinating realm of reinforcement learning. 📘🔍 A huge shoutout to the DeepLearning.AI team for this meticulously designed course and heartfelt thanks to Andrew Ng and the entire team of instructors for their invaluable insights. 🔥 As I wrap up this final course for the Machine Learning Specialization, the learning doesn't stop here. For those curious about my journey and insights, feel free to explore my notes at theogachet.com 🌐

I completed Machine Learning Specialization on Coursera 😊 ! Check out my certificate: A great specialization course by one of the best instructors, Mr. Andrew Ng. Specialization include 3 courses: 1 - Supervised Machine Learning: Regression and Classification 2 - Advanced Learning Algorithms 3 - Unsupervised Learning, Recommenders, Reinforcement Learning

I’m excited to announce that I’ve completed the first course in the Machine Learning Specialization by Andrew Ng! This course has been a fantastic introduction to supervised learning, where I've learned about both regression and classification. 📈📉 These foundational concepts are crucial for developing accurate predictive models, and I'm eager to apply these skills in practical scenarios. Grateful for this learning opportunity and looking forward to the next courses in the specialization. Onwards and upwards! 🚀 #MachineLearning #AndrewNg #SupervisedLearning #ContinuousLearning #ProfessionalGrowth

I'm thrilled to share that I've completed the Machine Learning Specialization offered by Stanford University in collaboration with DeepLearning.AI. This specialization included three courses : - Supervised Machine Learning: Regression and Classification. - Advanced Learning Algorithms. - Unsupervised Learning, Recommenders, Reinforcement Learning. Throughout these courses, I gained a profound understanding of these algorithms and successfully implemented them in Jupyter Notebook. The most exciting and valuable aspect of this journey was the practical insights and tips generously shared by Professor Andrew Ng.

I'm thrilled to announce that I've completed the first course, "Supervised Learning," in the Machine Learning Specialization by Andrew Ng on Coursera! his course provided a fantastic foundation for understanding the fundamentals of supervised learning, including regression and classification algorithms. I delved into key concepts like linear regression, logistic regression,gaining valuable hands-on experience through programming assignments and quizzes. I'm excited to continue my journey through the specialization and further explore the fascinating world of machine learning. I'm grateful to Andrew Ng and the course team(DeepLearning.AI ) for creating such a comprehensive and engaging learning experience.#machinelearning #andrewng #deeplearningai

I'm delighted to share that I've competed the first part of the Machine Learning Specialization :"Supervised Machine Learning: Regression and Classification", offered by DeepLearning.AI and Stanford University. This course has provided me with valuable insights into the concepts of regression and classification in supervised learning. During this course, I not only learned how to build models for both regression and classification but also gained the skills to fine-tune these models through the implementation of gradient descent, feature engineering, and regularization techniques to avoid overfitting. One thing I particularly appreciate in this course is that the balance between theoretical and practical aspects was just right, enabling me to grasp the Mathematical concepts of each topic and apply that knowledge in the practice lab. I'm eager to continue my learning journey in this specialization and am looking forward to the remaining two courses : "Advanced Learning Algorithms" and "Unsupervised Learning, Recommenders and Reinforcement Learning".

I am happy to announce that I managed to complete Supervised machine Learning:Regression and Classification course by stanford online. 🤩 Through this course, I have managed to build a solid understanding of machine learning basics.. #MachineLearning #Coursera #Stanfordonline

Excited to share a milestone in my learning journey! 🎓 Just completed the first course, "Supervised Machine Learning," in Stanford's Machine Learning specialization. 🌟 This course has been instrumental in solidifying my understanding of the foundational mathematics behind machine learning algorithms. Throughout the course, I delved into the intricacies of algorithms like Linear Regression, Logistic Regression, and their regularized versions. 💡 What sets this experience apart is not only absorbing the theoretical concepts but also implementing these algorithms from scratch. 📈 This hands-on approach has significantly enhanced my comprehension and practical skills in the field.

I'm happy to share that I have successfully completed the first course in Supervised Machine Learning. I want to express my heartfelt gratitude to the instructors of the course, especially Andrew NG, and to the Coursera platform for providing this opportunity. Completing Supervised Machine Learning: Regression and Classification has been a significant achievement for me. This course served as an excellent introduction to the world of machine learning. The instructors' clear explanations of concepts and the practical exercises were incredibly beneficial in deepening my understanding. It is definitely an excellent starting point for anyone looking to begin their journey into machine learning. https://lnkd.in/dJmCwYe9

I'm excited to share that I have completed the Supervised Machine Learning: Regression and Classification course, an online non-credit course authorized by DeepLearning.AI and Stanford University, offered through Coursera. This course, instructed by Andrew Ng, has provided me with in-depth knowledge and hands-on experience in supervised machine learning techniques, including regression and classification models. I'm eager to apply these skills and continue my journey in the field of machine learning. https://lnkd.in/dRg4s_3a