Aditya.
Building models by day
decoding AI mysteries by night✨🤖
Aditya
Passionate about machine learning and making the impossible, possible.
Projects.
Skills
Machine Learning
Proficiency in machine learning algorithms such as supervised and unsupervised learning, reinforcement learning, and deep learning. Knowledge of frameworks like TensorFlow, Keras, and Scikit-learn is essential for building predictive models.
Computer Vision
Experience in image and video analysis using computer vision techniques like object detection, image segmentation, feature extraction, and facial recognition. Familiarity with libraries such as OpenCV, PyTorch, and TensorFlow for vision tasks.
Natural Language Processing (NLP)
Expertise in processing and analyzing text data, including sentiment analysis, text classification, entity recognition, and machine translation. Familiarity with NLP libraries such as NLTK, SpaCy, and Hugging Face Transformers.
Data Preprocessing and Feature Engineering
Ability to clean, preprocess, and structure raw data for training machine learning models. Experience with techniques like data normalization, one-hot encoding, missing value handling, and feature scaling to optimize model performance.
Deep Learning
In-depth knowledge of neural networks and advanced architectures like CNNs (Convolutional Neural Networks) for image data, RNNs (Recurrent Neural Networks) for sequential data, and GANs (Generative Adversarial Networks) for data generation.
Mathematics and Statistics
Strong foundation in linear algebra, calculus, probability, and statistics for understanding machine learning algorithms, model optimization, and performance evaluation.
Data Visualization
Ability to visualize complex data and model results using tools like Matplotlib, Seaborn, Plotly, or Tableau. Data visualization is crucial for communicating insights from machine learning models effectively.