Completed Certifications:
DeepLearning.AI Machine Learning Specialization
I completed the DeepLearning.AI Machine Learning Specialization on Coursera in July 2024. This program provided a strong foundation in AI concepts and hands-on machine learning skills. It covered essential topics like supervised and unsupervised learning, as well as techniques to optimize models for various tasks. The courses were taught by Andrew Ng, an adjunct professor at Stanford University, whose clear and engaging teaching style made the learning process incredibly rewarding. I’m excited to apply these skills to real-world challenges and continue developing my expertise in the field.
To view my certificate of completion awarded to me by Coursera and DeepLearning.AI, please click here.
Skills learned include: Logistic Regression, Artifical Neural Networks, Linear Regression, Decision Trees, Recommender Systems, Gradient Descent, Supervised Learning, Tensorflow, Xgboost, Anomaly Detection, Unsupervised Learning, Reinforcement Learning, Collaborative Filtering.
IBM Data Science Professional Certificate
I earned the IBM Data Science Professional Certificate on Coursera in September 2023, completing a comprehensive and hands-on journey into the field of data science. This program provided in-depth training in data analysis, visualization, and machine learning, equipping me with practical skills highly relevant in today’s data-driven landscape. By working with real-world datasets and industry-standard tools, I enhanced my ability to uncover insights, craft impactful visualizations, and develop predictive models to address complex problems.
To view my certificate of completion awarded to me by Coursera and IBM, please click here.
Skills learned include: Classification, Clustering, Data Analysis, Data Mining, Data Science, Data Visualization, GitHub, Jupyter Notebooks, Machine Learning, Matplotlib, NumPy, Pandas, Python, Recommender Systems, Regression, SQL, SciPy, Scikit-learn, Seaborn.
Currently In Progress:
DeepLearning.AI Deep Learning Specialization
I am currently enrolled in the Deep Learning Specialization offered by DeepLearning.AI on Coursera. This comprehensive program, also taught by Andrew Ng, explores the foundations and advanced concepts of deep learning. Through five courses, I am mastering the theory and practical implementation of various neural network architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, and Transformers.
The specialization emphasizes hands-on experience with Python and TensorFlow, allowing me to build models for applications such as image recognition, neural style transfer, natural language processing, and more. Additionally, I am gaining insights into optimization techniques like Batch Normalization, Dropout, and Xavier initialization, as well as strategies for reducing errors and improving model performance.
Skills I am developing: TensorFlow, Convolutional Neural Networks, Recurrent Neural Networks, Transformers, Neural Style Transfer, Hyperparameter Tuning, Batch Normalization, Sequence Modeling, HuggingFace, Natural Language Processing.