Hyderabad is situated along the Musi River, and is the capital city of Andhra Pradesh and Telangana. City of pearls as the city is otherwise known, as for its pearl and diamond trading centre, it is the fourth most populated city within India and is home to around 6.8 million people as well as having a metropolitan population of around 7.75 million. The city which was established in 1591 has two main land marks, which are the Golconda and the Charminar which represents the history of Hyderabad. There are eleven universities within Hyderabad, six of which are owned by the state, three are deemed universities and the other two are central universities. The universities and institutions include an English and Foreign Languages University, NIFT Hyderabad, University of Hyderabad, Tata Institute of Social Sciences, Indian School of Business, National Academy of Construction and IIT Hyderabad all of which offer a wide range of different courses. However before students go off to do a degree within technology, construction, social science, engineering or international management, students must complete secondary schools and colleges, which include the Indus world school, Modern High School, St George’s Grammar school, the Meridian school, as well as international schools such as the Chirec International school which offers education from pre-primary to secondary school and offers students the opportunity to gain A and O levels, CBSE, IGCSE and CBSE.
Machine Learning Course in Hyderabad
The Machine Learning Course in Hyderabad dives into the core concepts and techniques for building, training, and evaluating models that solve real-world challenges. Here, learners can explore supervised and unsupervised learning, data preprocessing, algorithm selection and predictive analytics; all while gaining practical experience.
- Gain theoretical knowledge regarding the different Machine Learning algorithms
- Learn the concepts of SVM and SVR in this Machine Learning Course
- Learn about supervised and unsupervised learning concepts and clustering