mrc03 / Cats-vs-Dogs-CNN-Keras
The famous Cats-vs-Dogs dataset. I have used a self laid ConvNet to classify the image into 2 classes either a Dog or a Cat. The images used are of 100*100 pixels each. The images are first converted to the numpy array of pixel values using the python ZipFile module. The images are then divided into the training ,cross-validation,testing set con…
☆12Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Cats-vs-Dogs-CNN-Keras
- The Movie Reviews dataset. The dataset is imported from the NLTK libray. It has 1000 positive and 1000 negative reviews. I have first im…☆8Updated 5 years ago
- The training dataset consists of 42000 rows each of 784 pixel values thus representing 28 x 28 sized 42000 images of different digits fro…☆11Updated 6 years ago
- Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels …☆15Updated 6 years ago
- Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples.…☆11Updated 6 years ago
- The voices of different people are tested for 20 properties. These properties include mean-frequency, standard deviation, kurtosis, skew,…☆11Updated 6 years ago
- Kaggle top performer(Grandmaster) had a score of 0.10021. I had a self validation score of 0.10874 and a public score of 0.12516. Rossman…☆14Updated 6 years ago
- The dataset is Flower Recognition on Kaggle. The dataset consists of 4232 images each of different pixel values. Each of the image can be…☆21Updated 5 years ago
- The training set consisted of 25,000 images out of which 5,000 images were taken out as validation data. Separate test data folder consis…☆14Updated 6 years ago
- Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit…☆12Updated 5 years ago
- Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.☆16Updated 6 years ago
- The Red Wine Quality dataset from kaggle. Data is provided of the composition of the wine having different chemicals. I have used pandas …☆18Updated 6 years ago
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆60Updated 4 years ago
- Used Seaborn , Matplotlib ,Numpy , Pandas to Analyze and Visualize Different Types of Pokemons and their Relations with various Attribute…☆9Updated 6 years ago
- The product being developed is a mobile application for android operating system. It is an emotion and pain assessment tool and can be in…☆10Updated 6 years ago
- Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn…☆18Updated 6 years ago
- Winning solution for JanataHack: Computer Vision Hackathon☆16Updated 4 years ago
- ☆9Updated 2 years ago
- Repository containing all notebooks and solution files of various competitions in which I participated☆16Updated 2 years ago
- (Bronze medal - 241st place - Top 8%) Repository for the "SIIM-ISIC Melanoma Classification" Kaggle competition.☆14Updated 4 years ago
- BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from…☆102Updated last year
- AI app to detect breast cancer in histopathological database☆60Updated 4 years ago
- Skin cancer classification using Inceptionv3☆23Updated 6 years ago
- Image Classification using Keras as well as Tensorflow.☆83Updated 3 months ago
- Customer segmentation using k-means clustering in python☆57Updated 6 years ago
- Age Estimation by Using a CNN (Convolutional Neural Network) Based Regression Model☆16Updated last year
- SOM clustering on IRIS dataset☆16Updated 6 years ago
- Translating English sentences to Marathi using Neural Machine Translation☆37Updated 5 years ago
- ☆27Updated 6 years ago
- Figure 1 COVID-19 Chest X-ray Dataset Initiative☆33Updated 4 years ago