Resource of free step by step video how to guides to get you started with machine learning.
Friday, January 15, 2021
AI Project Architecture, Machine Learning Project Architecture.
Machine Learning And Deep Learning Model Deployment Architecture Using API's. Ada boost, adjusted R square, AI, AlexNet, Anomaly detection, Architecture, Arima, Artificial Intelligence, AWS, Azure, Bagging, BeautifulSoup, Bias, Boosting, CNN, Computer Vision, Cost Function, Cross Validation, Curse of Dimensionality, Data Science, DBSCAN, Decision Tree, Decision tree regressor, Deep Learning, Dimensionality reduction, Django, EDA, Encoders and Decoders, Ensemble approach, exploratory data analysis, Facenet, fast ai, Faster R CNN, Flask, F-Score, Feature Selection, Feature Engineering, Data Cleaning, Handling Categorical Features, Handling Missing Values, Handling Duplicate Values, Handling Outliers, Removing Outliers, Data Scaling, Data Standardization, Data Normalization, Boosting, Bagging, ensemble learning ensemble models ensemble learning. ensemble methods, Model Selection, Model Training, Hyperparameter Tuning Hyperparameter Selection, Cross Validation Feature importance, Dimensionality Reduction, Handling Imbalance Data, Django jango Fast API Tensorflow JS, Tensorlite, Google Cloud Platform, Google Coral, GoogleNet, GPU, Gradient boost, Gradient descent, Hierarchical clustering, Jetwon nano, K Nearest Neighbor, Keras, K-Means, KNN, knn regressor, Lazy learners, LeNet, Linear Regression, Logistics regression, Long Short Term Memory, LSTM, Machine Learning, Matplotlib, ML, Model Deployment, mongodb, Naive bayes, Natural Language Processing, Neural Network, NLP, NumPy, OLS, Opencv, Ordinary Least Squares, Overfitting, Pandas, Paperspace, PCA, Performance, Performance Evaluation, plotly, polynomial Regression, Precision, Principal Component analysis, PyCaret, PyTorch, R square , Randon Forest, Recall, Recurrent Neural Networks, Reinforcement, ResNet, Ridge Regression, RNN, ROC curve, Sarima, Scikit Learn SciPy, Scrappy, seaborn, Semi-supervised, Spacy, Spark, Sqlite, SSD, Stacking, Statsmodels, Supervised, SVM, SVR, TensorFlow, TensorFlow Object Detection, Testing, Textblob, Theano, Time series forecasting, Training, Transfer Learning, underfitting, Unsupervised, Validation, Variance, VGGNet, Web Scrapping, Word2vec, XgBoost, YOLO, You Only Look Once,
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