Microsoft Machine Learning Engineer Training ProgramDuring a comprehensive four-month training program under the guidance of DEPI, I gained hands-on experience in designing, building, and deploying machine learning solutions using cutting-edge tools and techniques.Key Skills Acquired:Machine Learning & Deep Learning: Mastered algorithms including Random Forest, Support Vector Machines (SVM), Decision Trees, XGBoost, and advanced neural networks like RNN, LSTM, and GRU.Computer Vision & Transfer Learning: Implemented advanced techniques using YOLO, ResNet, GoogleNet, VGG19, and ImageDataGenerator for image analysis and object detection.Natural Language Processing (NLP): Worked with NLTK and other libraries to build solutions for text processing and sentiment analysis.Data Manipulation & Visualization: Gained proficiency in Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.Frameworks & Libraries: Applied TensorFlow, Keras, and Scikit-Learn to develop and optimize machine learning models.Microsoft Azure Technologies: Leveraged Microsoft Azure Machine Learning for deploying and managing scalable AI solutions.