Pinned Repositories
ai-challenge-mars
Coursera_capstone
Capstone project as a part of the IBM course
FACE-ATTENDANCE-SYSTEM
An face detector developed to calculate the attendance of a student.
Face-Detect-and-Recog-model
House-Price-Prediction
House Price Prediction using Regression Methods - Linear Regressor with ensemble methods gradientbooster and Random Forest Regressor
How_Many_topics
GSSOC-20 Extended- Based on Topic Modeling, Classification, Natural Language Processing
MMC-system
Movie-Recommendation-
Movie Recommendation using KNN
TensorFlow-specialization
Web-App---Streamlit-and-Python
toshita2000's Repositories
toshita2000/Movie-Recommendation-
Movie Recommendation using KNN
toshita2000/TensorFlow-specialization
toshita2000/Web-App---Streamlit-and-Python
toshita2000/ai-challenge-mars
toshita2000/Coursera_capstone
Capstone project as a part of the IBM course
toshita2000/FACE-ATTENDANCE-SYSTEM
An face detector developed to calculate the attendance of a student.
toshita2000/Face-Detect-and-Recog-model
toshita2000/House-Price-Prediction
House Price Prediction using Regression Methods - Linear Regressor with ensemble methods gradientbooster and Random Forest Regressor
toshita2000/How_Many_topics
GSSOC-20 Extended- Based on Topic Modeling, Classification, Natural Language Processing
toshita2000/MMC-system
toshita2000/NLP-Resumeclustering
toshita2000/REAL-TIME-SENTIMENT-ANALYSIS
Interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.
toshita2000/Skin-Cancer-Detection
toshita2000/Spam-Filter-Python-NLP
Using the labeled ham and spam examples, I have trained a machine learning model to learn to discriminate between ham/spam automatically. Then, with a trained model, we'll be able to classify arbitrary unlabeled messages as ham or spam.
toshita2000/Sparks-Internship-Task-1-
toshita2000/Website-