Updated application file

.gitignore

@@ -0,0 +1 @@
+venv/

question-classifier-quantized.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d92f2c39439d51f807e8f80a23fe26596fe6db0162a83e8d4abf4b998778d4a
+size 125724922

tag_types_encoded.json

@@ -0,0 +1 @@
+{"statistics": 0, "model-selection": 1, "hyperparameter-tuning": 2, "batch-normalization": 3, "generalization": 4, "time-series": 5, "matrix": 6, "python": 7, "predictive-modeling": 8, "feature-engineering": 9, "classification": 10, "binary-classification": 11, "shap": 12, "neural-network": 13, "rnn": 14, "pytorch": 15, "preprocessing": 16, "machine-learning": 17, "svm": 18, "linear-algebra": 19, "vector-space-models": 20, "nlp": 21, "text-generation": 22, "tokenization": 23, "decision-trees": 24, "xgboost": 25, "ensemble-modeling": 26, "boosting": 27, "multiclass-classification": 28, "distribution": 29, "lightgbm": 30, "scikit-learn": 31, "logistic-regression": 32, "regression": 33, "accuracy": 34, "kernel": 35, "seaborn": 36, "transformer": 37, "machine-translation": 38, "huggingface": 39, "dataset": 40, "deep-learning": 41, "clustering": 42, "recommender-system": 43, "similarity": 44, "distance": 45, "one-hot-encoding": 46, "lstm": 47, "linear-regression": 48, "dummy-variables": 49, "gan": 50, "dbscan": 51, "feature-scaling": 52, "mse": 53, "data-analysis": 54, "pandas": 55, "feature-selection": 56, "image-classification": 57, "computer-vision": 58, "object-detection": 59, "outlier": 60, "tensorflow": 61, "cnn": 62, "sequence-to-sequence": 63, "pipelines": 64, "convolutional-neural-network": 65, "categorical-data": 66, "visualization": 67, "training": 68, "optimization": 69, "overfitting": 70, "arima": 71, "confusion-matrix": 72, "probability": 73, "sampling": 74, "random-forest": 75, "machine-learning-model": 76, "nltk": 77, "tfidf": 78, "spacy": 79, "class-imbalance": 80, "multilabel-classification": 81, "normalization": 82, "gridsearchcv": 83, "dimensionality-reduction": 84, "search": 85, "attention-mechanism": 86, "cosine-distance": 87, "geospatial": 88, "tableau": 89, "loss-function": 90, "image": 91, "noise": 92, "data-leakage": 93, "bert": 94, "bayesian": 95, "gradient-boosting-decision-trees": 96, "correlation": 97, "text-mining": 98, "activation-function": 99, "csv": 100, "generative-models": 101, "audio-recognition": 102, "naive-bayes-classifier": 103, "data": 104, "labels": 105, "cross-validation": 106, "learning": 107, "supervised-learning": 108, "aggregation": 109, "mnist": 110, "reinforcement-learning": 111, "r": 112, "classifier": 113, "java": 114, "probability-calibration": 115, "matlab": 116, "plotting": 117, "keras": 118, "numpy": 119, "autoencoder": 120, "backpropagation": 121, "feature-extraction": 122, "data-science-model": 123, "career": 124, "transfer-learning": 125, "data-mining": 126, "semi-supervised-learning": 127, "k-means": 128, "pca": 129, "faster-rcnn": 130, "language-model": 131, "gpu": 132, "performance": 133, "data-cleaning": 134, "bigdata": 135, "yolo": 136, "scipy": 137, "forecasting": 138, "apache-spark": 139, "unsupervised-learning": 140, "anomaly-detection": 141, "graphs": 142, "javascript": 143, "gpt": 144, "text": 145, "k-nn": 146, "model-evaluations": 147, "ranking": 148, "word2vec": 149, "sentiment-analysis": 150, "q-learning": 151, "sequential-pattern-mining": 152, "explainable-ai": 153, "named-entity-recognition": 154, "imbalanced-data": 155, "data-imputation": 156, "orange": 157, "terminology": 158, "bias": 159, "aws": 160, "opencv": 161, "metric": 162, "image-recognition": 163, "sequence": 164, "books": 165, "theory": 166, "similar-documents": 167, "semantic-similarity": 168, "hyperparameter": 169, "convolution": 170, "word-embeddings": 171, "embeddings": 172, "convergence": 173, "python-3.x": 174, "object-recognition": 175, "gensim": 176, "graph-neural-network": 177, "matplotlib": 178, "ggplot2": 179, "dataframe": 180, "hypothesis-testing": 181, "implementation": 182, "tsne": 183, "rstudio": 184, "text-classification": 185, "mathematics": 186, "binary": 187, "matrix-factorisation": 188, "vgg16": 189, "pretraining": 190, "variance": 191, "interpretation": 192, "topic-model": 193, "lda": 194, "efficiency": 195, "descriptive-statistics": 196, "ocr": 197, "lasso": 198, "image-segmentation": 199, "gradient-descent": 200, "theano": 201, "dropout": 202, "information-retrieval": 203, "feature-construction": 204, "representation": 205, "bayesian-networks": 206, "algorithms": 207, "ab-test": 208, "gbm": 209, "markov-process": 210, "encoding": 211, "apache-hadoop": 212, "prediction": 213, "epochs": 214, "pyspark": 215, "data-wrangling": 216, "mlp": 217, "self-study": 218, "google": 219, "llm": 220, "sql": 221, "genetic-algorithms": 222, "validation": 223, "perceptron": 224, "finetuning": 225, "inference": 226, "regularization": 227, "features": 228, "semantic-segmentation": 229, "survival-analysis": 230, "roc": 231, "beginner": 232, "catboost": 233, "social-network-analysis": 234, "categorical-encoding": 235, "databases": 236, "missing-data": 237, "jupyter": 238, "methodology": 239, "grid-search": 240, "dqn": 241, "weight-initialization": 242, "score": 243, "experiments": 244, "stanford-nlp": 245, "policy-gradients": 246, "cost-function": 247, "tools": 248, "data-augmentation": 249, "weighted-data": 250, "smote": 251, "ai": 252, "image-preprocessing": 253, "kaggle": 254, "monte-carlo": 255, "colab": 256, "auc": 257, "marketing": 258, "research": 259, "churn": 260, "pattern-recognition": 261, "excel": 262, "imbalanced-learn": 263, "scala": 264, "inception": 265, "association-rules": 266, "ipython": 267, "azure-ml": 268, "markov-hidden-model": 269, "ensemble-learning": 270, "transformation": 271, "weka": 272, "reference-request": 273, "finance": 274, "json": 275, "forecast": 276, "scraping": 277, "parameter-estimation": 278, "education": 279, "scoring": 280, "powerbi": 281, "gaussian": 282, "isolation-forest": 283, "softmax": 284, "feature-importances": 285, "scalability": 286, "anaconda": 287, "multitask-learning": 288, "information-theory": 289, "statsmodels": 290, "error-handling": 291, "parameter": 292, "f1score": 293, "mini-batch-gradient-descent": 294, "online-learning": 295, "definitions": 296, "distributed": 297, "programming": 298}