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ExcelR_Assignment---KNN---Assignment---13

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K-nearest neighbors (knn) algorithm :.

K-nearest neighbors (KNN) algorithm is a type of supervised ML algorithm which can be used for both classification as well as regression predictive problems. However, it is mainly used for classification predictive problems in industry. The following two properties would define KNN well.

• Lazy learning algorithm :

KNN is a lazy learning algorithm because it does not have a specialized training phase and uses all the data for training while classification.

• Non-parametric learning algorithm :

KNN is also a non-parametric learning algorithm because it doesn’t assume anything about the underlying data.

This assignment will study following Questions :

Question no 1 :.

Prepare a model for glass classification using KNN

Data Description :

RI : refractive index ... Na: Sodium ... Mg: Magnesium

AI: Aluminum ... Si: Silicon ... K: Potassium

Ca: Calcium ... Ba: Barium ... Fe: Iron

Type: Type of glass : (class attribute)

1 -- building_windows_float_processed ... 2 -- building_windows_non_float_processed

3 -- vehicle_windows_float_processed ... 4 -- vehicle_windows_non_float_processed (none in this database)

5 -- containers ... 6 -- tableware ... 7 -- headlamps

Question No 2 : Implement a KNN model to classify the animals in to categorie

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USL League One Assignments: Week 13

The assignments for Week 13 of the 2024 USL League One season:

Richmond Kickers vs Forward Madison City Stadium (8PM ET) REF: Rafael Santos AR1: Joseph Knoff AR2: Jennifer Dumaine 4TH: Adam Mitchell

Northern Colorado Hailstorm vs Central Valley Fuego Future Legends Complex (9PM ET) REF: Melvin Rivas AR1: Jarred Mosher AR2: Joseph Macht 4TH: Adam Rice

South Georgia Tormenta vs One Knoxville Tormenta Stadium (7:30PM ET) REF: Wesley Costa AR1: Albert Escovar AR2: Jonathan Smith 4TH: Mario Maric

Lexington Sporting Club vs Union Omaha Toyota Stadium (7PM ET) REF: Erick Lezama Pavon AR1: Kevin Huet AR2: William Gaither 4TH: Matthew Fotia

Northern Colorado Hailstorm vs Charlotte Independence Future Legends Complex (9PM ET) REF: Jose Lara AR1: Joshua Mills AR2: William Aten 4TH: Lorenzo Lopez

Spokane Velocity vs Chattanooga Red Wolves ONE Spokane Stadium (9PM ET) REF: Lukasz Jozefecki AR1: Eric Krueger AR2: Serghei Celan 4TH: Aidan Velasco

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For first-year architecture students, an assignment of consequence.

For decades, the Jim Vlock First Year Building Project has offered students at the Yale School of Architecture the opportunity to design and build a house in New Haven, creating badly needed homes for individuals and families who would otherwise struggle to afford one.

The project recently launched a multi-year partnership with the Friends Center for Children, an early-childhood care and education in New Haven, offering to design and build five adjacent houses for two of the center’s educators and their families by 2027. The partnership is part of the Friends Center’s Teacher Housing Initiative, which addresses both the crisis in childcare and affordable housing by providing 20% of the center’s educators with rent-free homes, substantially increasing their take-home pay.

Last year, Yale students designed and built the first duplex dwelling, in the Fair Haven Heights neighborhood of New Haven. In this video, we follow the Yale students throughout the year-long process, from the first site visits, through design and construction, and ultimately to the celebration of the newly completed home.

A group of students lifting a wall off a concrete foundation.

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The project, a key facet of the curriculum in the school’s professional architecture degree program, was established in 1967 when the late Charles Moore, who directed Yale’s Department of Architecture from 1965 to 1971, sought to address students’ desire to pursue architecture committed to social action. The first-of-its-kind program is now emulated by many other architecture schools.

In its early years, students traveled to sites in Appalachia to build community centers and medical facilities. Since 1989, when the project switched its focus to building affordable housing in New Haven, first-year students have designed and built more than 50 homes in the city’s economically challenged neighborhoods.

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UNEP UNV Young Talent Pipeline begins its second phase

The second phase of the United Nations Environment Programme (UNEP) and the United Nations Volunteers (UNV) Young Talent Pipeline starts on 25 June 2024. It builds on the efforts of the first phase from 2023 and aims to engage young talented individuals to become future leaders across environment, pollution and climate action. 

This joint partnership initiative between UNEP and UNV has a twin objective:

  • To deploy the second cohort of 13 young talented individuals in areas related to UNEP's mandate .
  • To seek candidates from Latin America and the Caribbean, Eastern Europe, Asia-Pacific, and Africa.

If you are 33 years of age or younger, check out the assignment opportunities. Women and individuals from marginalized groups are especially encouraged to apply.

Candidates are required to have academic degrees in relevant areas along with three years of professional experience.

Dynamic thinkers with relevant experience and a passion for the environment particularly for solutions to the triple planetary crises of climate change, pollution, nature and biodiversity loss are encouraged to apply.

Selected candidates will be based in UNEP’s headquarters in Nairobi, Kenya.

Assignments are expected to begin in November 2024 and last for 12 months, with a possibility of extension.

UN Volunteers recruited in the Young Talent Pipeline will have access to learning and professional development opportunities, including a suite of online learning programmes.

Deadline for applications is 8 August 2024.

Please click on the UN Volunteer assignments in the UNEP UNV Young Talent Pipeline

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