The main idea of this Data Science project is to develop a real-time machine learning model that can correctly detect and predict the future events. It will improve the efficiency and optimizing the production processes, businesses are able to increase the productivity.
Data may be numbers, text, image, video or audio. Text analysis using a
NLP algorithm and
Named Entity Recognition. predictice analysis, diagnostic analytics implemented using
regression or classification models. Deep learning model
RNN or LSTM are used for image or video analytics.
List of Data science Projects
Collect data. Use your digital infrastructure and other sources to gather as many useful records as possible and unite them into a dataset.
Prepare Data. Prepare your data to be processed in the best possible way. Data preprocessing and cleaning procedures can be quite sophisticated, but usually, they aim at filling the missing values and correcting other flaws in data, like different representations of the same values in a column (e.g. December 14, 2016 and 12.14.2016 won’t be treated the same by the algorithm).
Split data. Separate subsets of data to train a model and further evaluate how it performs against new data.
Train a model. Use a subset of historic data to let the algorithm recognize the patterns in it.
Test and validate a model. Evaluate the performance of a model using testing and validation subsets of historic data and understand how accurate the prediction is.
Deploy a model. Embed the tested model into your decision-making framework as a part of an analytics solution or let users leverage its capabilities (e.g. better target your product recommendations).
Iterate. Collect new data after using the model to incrementally improve it.
Once you are done learning theoretical concepts, you should start working on AI and machine learning projects. These projects will give you the practice necessary to hone your skills in the field, and at the same time, are a great value add to your machine learning portfolio. Implementation will be R program, Python, Big Data, Hadoop, PySpark and No-SQL databases.
Our Pallikaranai, Data science development centre offers client project in Machine learning, Deep learning, data analytics and AI.