The dataset has an age, customer id, gender, annual income, and spending score.
The Mall customers dataset holds the details about people visiting the mall.
CNN model (Convolutional neural networks) are necessary for this project to get accurate results. Machine Learning Project Idea: To implement image classification on this huge database and recognize objects. It also hosts a challenging competition named ILSVRC for people to build more and more accurate models. It is suitable for image recognition, face recognition, object detection, etc. It has over 100,000 phrases and an average of 1000 images per phrase. ImageNet is a large image database that is organized according to the wordnet hierarchy. You can implement a machine learning classification or regression model on the dataset. Machine Learning Project Idea: Classification is the task of separating items into their corresponding class. This dataset has 3 classes with 50 instances in every class, so only contains 150 rows with 4 columns. The iris dataset is a beginner-friendly dataset that has information about the flower petal and sepal sizes. Source Code: ML Project on Detecting Parkinson’s Disease The algorithm that is useful for this purpose is XGboost, which stands for extreme gradient boosting, and it is based on decision trees. Machine Learning Project Idea: You can build a model that can be used to differentiate healthy people from people having Parkinson’s disease. This data is used to differentiate healthy people and people with Parkinson’s disease. Parkinson dataset contains biomedical measurements, 195 records of people with 23 different attributes.
Parkinson's is a disease that can cause a nervous system disorder and affects the movement. Machine Learning Project Idea: You can build a CNN model that is great for analysing and extracting features from the image and generate a english sentence that describes the image that is called Caption. And this dataset is an upgraded version of Flickr 8k used to build more accurate models. This dataset is used to build an image caption generator. The Flickr 30k dataset has over 30,000 images, and each image is labeled with different captions. To build a Chatbot of your own, you need to have a good knowledge of Natural language processing concepts. Machine Learning Project Idea: You can build a chatbot or understand the working of a chatbot by twisting and expanding the data with your observations. The dataset is perfect for understanding how chatbot data works. Every tag has a list of patterns that a user can ask, and the chatbot will respond according to that pattern. The dataset for a chatbot is a JSON file that has disparate tags like goodbye, greetings, pharmacy_search, hospital_search, etc. It separates the observations into k number of clusters based on the similar patterns in the data. K-means clustering is an unsupervised Machine learning algorithm. Machine Learning Project Idea: Using k-means clustering, you can build a model to detect fraudulent activities. Out of 150 users, most of the users are the senior management of Enron. It has more than 500K emails of over 150 users. The Enron Dataset is popular in natural language processing.
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