Python/ML Packages : Numpy, Pandas, Sci-py, Statsmodels, Scikit-learn, Seaborn, Matplotlib, Flask,
Pytesseract, Regex, OCR.
Machine learning : Linear Regression, Ridge & Lasso Regression, Logistic Regression, Naïve Bayes Classifier,
K-Nearest Neighbor’s Classifier, k Nearest Neighbor’s Regressor, Support Vector Machine(SVM), Decision
Tree, Random Forest, Gradient Descent, Ada Boost, XGBoost(Extreme Gradient Boosting), K-means
Clustering, Principal Component Analysis, Feature selection techniques.
Text Processing (Natural Language Processing) : Transformer Architecture, LLM, Vector Databases(Chroma
DB, Pinecone), Langchain, HuggingFace, NLTK, Term Frequency-Inverse Document Frequency (TF-IDF),
Word2Vec, Bag of Words, spaCy, OpenCV, Gensim, textblob, langdetect ,RNN(Recurrent Neural Network),
LSTM(Long Short-Term Memory), BiLSTM(Bidirectional Long Short-Term Memory), GRU(Gated Recurrent
Unit).
Deep Learning : YOLO, Object Detection, Image Processing, OpenCV, Neural Network, Computer Vision, Data
Augmentation, Activation Function, Loss Function, Optimization Function, ANN(Artificial Neural Network),
CNN(Convolutional Neural Network), TensorFlow, Keras, Image Classification
Languages : Python, SQL.
Excel : Advanced Formulas and Functions, Data Analysis, Data Cleaning and Transformation, Collaboration
and Sharing. Cloud Platforms/Services : AWS(Amazon Web Service
Web stack : Flask.
Database : SQLite, MongoDB.
Designation : | ML Engineer |
Highest Education : | Graduate Degree |
Open For Job : | Immediately Available |
Job Skill : | Python, Machine Learning Engineers, Natural Language Processing, Gen ai, Deep Learning |
Work Experience : | 3 years |
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