Devis Akalya Pushpam D’s Post

Hello linkedin connections!👋🏻 I recently attended a workshop on Data Science and AI. The session covered key topics like machine learning, data analytics and AI applications providing both theoretical knowledge and practical skills. I’m excited to apply what I’ve learned to my projects. Thanks to the organizers and speakers for such a valuable experience.🙌🏻 #DataScience#AI#Dhaapps#Workshop #ProfessionalDevelopment

Excited to share that I’ve deepened my understanding of the Machine Learning Process A-Z through 365 Data Science! From data collection to model validation, I’ve learned how each step plays a crucial role in building reliable and effective machine learning models. Key takeaways include data cleaning and preparation, feature selection, model training, and evaluation, as well as hyperparameter optimization to improve performance. This comprehensive approach has not only enhanced my skills in machine learning but also given me the tools to tackle real-world projects with confidence. A huge thank you to 365 Data Science for providing such valuable training! #MachineLearning #DataScience #365DataScience #AI #BigData #365DataLearningChallenge #LearnAI #HBA

"Thrilled to share that I've successfully completed the Professional Program on Data Science and AI with 360DigiTMG! This comprehensive program covered crucial modules like CRISP-ML(Q), Data Preprocessing, EDA, and more, equipping me with the skills to excel in the field of Data Science. Excited to apply this knowledge and make impactful contributions! #DataScience #AI #Machinelearning #Supervised #Unsupervised #ProfessionalDevelopment"

I am thrilled to complete the Data Science/AI Workshop! 🎉 It was a fantastic learning experience that deepened my understanding of cutting-edge technologies and tools in this field. I am excited to apply these new skills and continue exploring the limitless potential of AI and data science! #datascience #artificialintelligence #machinelearning #achievement #growth #learning #AI #professionaldevelopment

🚀 Embracing the Power of AI in Business 🎓 I am thrilled to have completed the Artificial Intelligence in Business course as part of my Master’s in Artificial Intelligence! 🎉 This course has equipped me with the tools and techniques to make data-driven decisions and solve complex business problems using AI. 🤖 🔑 Key Learnings: Business Goals: Mastered frameworks like SWOT and SMART for aligning business objectives. 📊 Solving Business Objectives: Explored advanced methods such as the BI Approach, State Space, and the Taken Theorem. 💡 AI in Business: Delved into techniques like Gradient Boosted Machines, Decision Trees, SHAP values, LIME, and Waterfall Charts. 🌊 AI Metrics: Learned how to apply Hybrid Experiments and Quantile Difference Tests for accurate business recommendations. 📈 This knowledge is invaluable for creating impactful solutions, quantifying business goals, and leveraging AI to drive success in any industry. The future of AI in business is incredibly promising, and I’m excited to contribute to this dynamic field. 🌍💼 #AIinBusiness #ArtificialIntelligence #MachineLearning #BusinessIntelligence #MasterAI #DataScience #AIforBusiness #TechnologyInnovation #FutureOfWork

The Importance of Feature Engineering in Data Science": 🚀 The Power of Feature Engineering in Data Science 🚀 In data science, feature engineering is a game-changer. It involves transforming raw data into meaningful features that enhance model performance. Here’s why it’s essential: Improved Model Accuracy: High-quality features directly impact the accuracy and efficiency of machine learning models. Better Understanding: It allows us to derive insights from raw data and identify key trends that may not be obvious at first glance. Reduction of Noise: Thoughtful feature selection helps eliminate noise, making the data easier to model and understand. For instance, in a time-series dataset, creating features like "day of the week" or "seasonality" can drastically improve forecasting accuracy! 💡 Pro tip: Focus on domain knowledge while engineering features. The deeper your understanding of the business problem, the better your features will be. Have you ever experienced a breakthrough because of effective feature engineering? Share your story below! #DataScience #FeatureEngineering #MachineLearning #AI

Elevate your career with our Advanced Training Program in Data Science with AI & ML at Fusion Software Institute! Gain cutting-edge skills, hands-on experience, and industry insights. Enroll now and transform your future! 📊🤖 . . Contact For More Info.: 9970357273, 84213 04273 . . #datascience #ai #machinelearning #careergrowth #fusionsoftwareinstitute #deeplearning #bigdata #analytics #techtraining #professionaldevelopment #ittraining #artificialintelligence #dataanalysis #dataengineering #techskills #learndatascience #futuretech #innovativelearning #techeducation #datasciencetraining #mltraining

Is Data Science Becoming an Outdated Domain? In the fast-evolving landscape of technology, some may wonder if Data Science is losing its relevance. The truth? It’s more critical than ever. Data is the new oil, powering everything from business decisions to healthcare innovations. As AI, machine learning, and automation continue to advance, the demand for skilled data professionals is skyrocketing. The ability to extract meaningful insights from data isn’t just valuable—it’s essential. Whether you’re a seasoned professional or just starting, keeping your data skills sharp is crucial. That’s where Brainalyst’s Data Science 360 Program comes in. This comprehensive course equips you with the knowledge and tools to stay ahead in the data-driven world. Stay relevant, stay informed, and keep learning. Dive into Data Science with Brainalyst today: https://ds.brainalyst.in Follow Nitin S. #DataScience #AI #MachineLearning #CareerGrowth #Brainalyst #data #dataanalytics #onlinecourse #education

🚀 **Completed the "Supervised Machine Learning: Classification and Regression" course from DeepLearning.AI!** 📊📈 🔍 **What I learned:** - **Classification Algorithms** 🧠✨ - **Regression Techniques** 📉🔧 - **Data Preprocessing** 🗃️📑 - **Model Evaluation** 📝🔍 Sir Muhammad Irfan ,Sir Dr. Sheraz Naseer - (PhD Artificial Intelligence, Data Science) Sir Muhammad Haris Tariq DeepLearning.AI Google Microsoft Xeven Solutions #MachineLearning #DeepLearning #AI #DataScience

🌟 Data Science Interview Series - Question 8! 🌟 Question 8: What is feature engineering, and why is it important in building machine learning models? Feature engineering is the process of selecting, modifying, or creating features (input variables) from raw data to improve the performance of machine learning models. Importance of Feature Engineering: Improves Model Performance: Well-engineered features can significantly enhance a model’s predictive power. Reduces Complexity: Simplifying features can lead to faster training times and easier model interpretation. Handles Non-linearity: Allows the introduction of new features that capture complex relationships in the data. Mitigates Overfitting: Helps in creating robust features that generalize well to unseen data. 💬 What feature engineering techniques do you find most effective? Let’s chat in the comments!Mubashir Habib #DataScience #MachineLearning #FeatureEngineering #AI