Alberto David Enriquez Perales’ Post

I’m happy to share that I’ve obtained a new certification: Supervised Machine Learning: Regression and Classification from DeepLearning.AI, Stanford University! I am very thankful to the instructor Andrew Ng for such a great course. It was a great learning experience for me as starting Machine learning. I learned a lot of new concepts that I was not aware of before taking this course(like the mathematical implementation of the machine learning model). After getting in-depth knowledge about these models I feel more confident in using them and applying new techniques in them. Now I am going to take the next two courses in machine learning from Andrew ng and I encourage you to take them as well if you want to get in-depth of machine learning. #machinelearning #learningjourney #coursera #ai #data #datascience #python

Dear network, I'm delighted to share that I've successfully completed the Machine Learning Specialization by DeepLearning.AI on Coursera! This comprehensive program has provided me with a strong foundation in machine learning. It covers topics such as Supervised Machine Learning: Regression and Classification, Advanced Learning Algorithms, Unsupervised Learning, Recommenders, and Reinforcement Learning. I'm thrilled to apply my newfound knowledge to upcoming projects and continue learning in the dynamic field of machine learning. This experience has not only broadened my understanding but also reinforced my passion for leveraging technology to solve real-world problems. #dataanalytics #python #SupervisedMachineLearning #regression #classification

Excited to announce my completion of the Supervised Machine Learning: Regression and Classification certificate from Stanford University via Coursera, under the expert guidance of Andrew Ng .Delved into Linear Regression, Regularization techniques, Logistic Regression for Classification, Gradient Descent, and more. Proficient in Python programming with NumPy and scikit-learn for data analysis and visualization. Ready to apply these skills to real-world challenges in AI and ML. #MachineLearning #AI #Stanford #Coursera

🌟 Excited to share that I have completed the 'Machine Learning with Python' course issued by edX and authorized by IBM. This journey has enriched my understanding of machine learning basics, including: 🔹 Distinguishing between supervised and unsupervised learning methods. 🔹 Identifying key supervised learning algorithms like classification and regression. 🔹 Exploring unsupervised learning algorithms such as clustering and dimensionality reduction. 🔹 Understanding the relationship between statistical modeling and machine learning. 🔹 Analyzing the impact of machine learning on society. I'm thrilled to apply these insights to real-world problems and continue growing in this fascinating field! 💻🤖📊 #MachineLearning #Python #edX #IBM #SupervisedLearning #UnsupervisedLearning #DataScience #AI #TechInnovation #ContinuousLearning #FutureOfWork

I'm thrilled to share that I've completed the Machine Learning course with Python! 🎉 It has been an incredible journey where I learned how to implement various machine learning algorithms, work with real-world datasets, and dive deep into the world of data science. 📊🔍 From understanding the basics like linear regression and decision trees to more advanced topics like neural networks and deep learning, every lesson has been a step forward in mastering the skills required to build predictive models. 🤖💡 The hands-on projects helped solidify my learning, and now I feel more confident in applying machine learning to solve real-world problems. 🚀 The course not only strengthened my Python programming skills but also gave me valuable insights into data preprocessing, feature engineering, and model evaluation. Looking forward to using these new skills in future projects and continuing to grow in this exciting field! 💻📈 #MachineLearning #Python #DataScience #AI

🚀 Thrilled to share that I’ve completed the "Supervised Machine Learning: Regression and Classification" course by DeepLearning.AI, Coursera, Stanford CPD, UVM! on Coursera! 🎓 In this course, I gained hands-on experience in building machine learning models in Python using popular libraries like NumPy and scikit-learn. I also learned to build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression. Key skills acquired include linear regression, regularization to avoid overfitting, logistic regression for classification, gradient descent, and supervised learning. I'm excited to apply these skills to real-world projects and contribute to innovative solutions in the field of machine learning and AI. A big thank you to DeepLearning.AI for this enriching learning experience! 🙌 #MachineLearning #AI #DeepLearning #Python #SupervisedLearning #LinearRegression #LogisticRegression #LifelongLearning

I'm thrilled to announce that I've completed the "Supervised ML: Regression and Classification" course from Stanford University and DeepLearning.AI on Coursera! 👩💻 This course comprehensively introduced supervised machine learning fundamentals, delving into regression and classification techniques with hands-on practices. I've gained a strong understanding of - Linear Regression: Predicting continuous values based on linear relationships. Classification Algorithms: Building models to categorize data points into predefined classes. Model Evaluation Metrics: Assessing the performance of machine learning models. I'm excited to leverage this newfound knowledge to apply to projects and continue building my expertise in ML. 🤖 Here are some links to explore more on the topic... https://lnkd.in/gZS4rsuD https://lnkd.in/ggfypuvf https://lnkd.in/g9XpEdZj https://lnkd.in/g9XpEdZj #machinelearning #regression #classification #datascience #python

"I completed the Machine Learning with Python course from CognitiveClass.ai, where I built a strong foundation in machine learning concepts and techniques. During the course, I gained hands-on experience with: Supervised and unsupervised learning algorithms. Techniques for model evaluation and improvement. This course allowed me to apply these concepts through practical exercises and projects, enhancing my problem-solving and analytical skills. I am eager to apply this knowledge in projects and roles that drive meaningful impact through data and machine learning." #Dataprocessing #DataScience #AI #CognitiveClass.ai #IBM

I am happy to share that I have earned - Supervised Machine Learning: Regression and Classification Certification from DeepLearning.AI and Stanford University. Specialization in building and training supervised machine learning models for prediction leveraging classification and regression techniques, using python and popular machine learning libraries NumPy and scikit-learn. I recommend this course who would like to master key concepts and gain the knowledge to quickly and powerfully apply machine learning to challenging real-world problems and build AI applications or models.