The Sri Lankan IT industry has emerged as a significant player in the global market, specializing in business process outsourcing (BPO) and serving as an offshore development center for numerous Fortune 500 companies from various regions including North America, Europe, and Asia. The industry is known for its Skilled workforce: Sri Lanka boasts a large pool of highly skilled and qualified IT professionals, many of whom are proficient in various programming languages and technologies. Cost-effectiveness: Compared to other outsourcing destinations, Sri Lanka offers competitive rates for IT services, making it an attractive option for businesses seeking to reduce costs. Strong government support: The Sri Lankan government actively supports the development of the IT industry, providing various incentives and infrastructure improvements to attract foreign investment. Some of the well-known global IT companies with a presence in Sri Lanka include: HSBC IFS Intel Motorola WNS RR Donnelley Vi...
Use the mediaQuery.of() method in your build functions AspectRatio CustomSingleChildLayout CustomMultiChildLayout FittedBox FractionallySizeBox LayoutBuilder MediaQuery MediaQueryData OrientationBuilder Animation Tween animation Defined beginning and ending pointer, timeline, and a curve. physics-based animation motion is modeled to resemble real-world behaviour.
Using cansus data, let's use several traits of an individual to estimate what income class they belong to (>50k or <=50k). here with cansus data's drive link. https://drive.google.com/drive/folders/1NPPMs52EOkPUTwimmyCBx0b7qCeQ-9yB?usp=sharing Q1) what is the advantage of using TensorFlow? the main advantage is TensorFlow offers high-level APIs. In this case we will use estimator API to create Classifier (linearClassifier). in census_data .csv keep age, workclass, Final-weight, education,education-num,Marital-Status,occupation,relationship,race,sex,capital-Gain,Capital-loss,hours-per-week,native-country,class coloums.here class coloum is our target let's build a model read the census_data.csv using the pandas library. import pandas as pd census = pd.read_csv ( "/content/census_data.csv" ) cheak and view census_data.csv head/1st row ,using head() function. census.head () more... My_income-class-prediction-using-tenso...
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